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Tytuł:
Multi-instance learning based lung nodule system for assessment of CT quality after small-field-of-view reconstruction.
Autorzy:
Ma Y; Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
Cao H; Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
Li J; Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
Lin M; Infervision Technology Co. Ltd., Beijing, 100010, China.
Gong X; Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
Lin Y; Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China. .
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 07; Vol. 14 (1), pp. 3109. Date of Electronic Publication: 2024 Feb 07.
Typ publikacji:
Journal Article
MeSH Terms:
Radiographic Image Interpretation, Computer-Assisted*/methods
Lung Neoplasms*/diagnostic imaging
Humans ; Retrospective Studies ; Tomography, X-Ray Computed/methods ; Lung ; Radiation Dosage ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Color Mapping using Ultrasound System-integrated Perfusion Software for Evaluation of Focal Liver Lesions: A Possible First Step for More Independent Reading.
Autorzy:
Dropco I; Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany. .
Kaiser U; Medical Clinic and Polyclinic III, University Hospital Regensburg, Regensburg, Germany. .
Wagner L; Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany. .
Brunner SM; Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany. .
Schlitt HJ; Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany. .
Stroszcynski C; Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany. .
Jung F; Institute of Biotechnology, Molecular Cell Biology, Brandenburg University of Technology, Senftenberg, Germany. .
Yi D; Department of Ultrasound Zhongshan Hospital, Fudan University, Shanghai, China. .
Herr W; Medical Clinic and Polyclinic III, University Hospital Regensburg, Regensburg, Germany. .
Jung EM; Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany. .
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Źródło:
Journal of gastrointestinal and liver diseases : JGLD [J Gastrointestin Liver Dis] 2023 Dec 22; Vol. 32 (4), pp. 479-487. Date of Electronic Publication: 2023 Dec 22.
Typ publikacji:
Journal Article
MeSH Terms:
Liver Neoplasms*/diagnostic imaging
Liver Neoplasms*/pathology
Ultrasonography*/methods
Image Interpretation, Computer-Assisted*
Humans ; Contrast Media ; Perfusion/methods ; Sensitivity and Specificity ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Dynamic Computed Tomography Angiography for capturing vessel wall motion: A phantom study for optimal image reconstruction.
Autorzy:
Stam LB; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Linden SML; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.; Technical Medical Center, University of Twente, Enschede, The Netherlands.
Oostveen LJ; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Hansen HHG; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Aquarius R; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Slump CH; Technical Medical Center, University of Twente, Enschede, The Netherlands.
de Korte CL; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Bartels RHMA; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Prokop M; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Boogaarts HD; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Meijer FJA; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
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Źródło:
PloS one [PLoS One] 2023 Dec 22; Vol. 18 (12), pp. e0293353. Date of Electronic Publication: 2023 Dec 22 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Computed Tomography Angiography*/methods
Radiographic Image Interpretation, Computer-Assisted*/methods
Tomography, X-Ray Computed/methods ; Angiography/methods ; Algorithms ; Image Processing, Computer-Assisted ; Radiation Dosage
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Digital Image Correlation with a Prism Camera and Its Application in Complex Deformation Measurement.
Autorzy:
Hu H; Qingdao Research Institute, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.
Qian B; School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Zhang Y; Qingdao Research Institute, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.
Li W; Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 13; Vol. 23 (12). Date of Electronic Publication: 2023 Jun 13.
Typ publikacji:
Journal Article
MeSH Terms:
Image Interpretation, Computer-Assisted*/methods
Data Compression*
Algorithms ; Light ; Computer Simulation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Development of automatic generation system for lung nodule finding descriptions.
Autorzy:
Momoki Y; Medical Systems Research & Development Center, FUJIFILM Corporation, Minato, Tokyo, Japan.
Ichinose A; Medical Systems Research & Development Center, FUJIFILM Corporation, Minato, Tokyo, Japan.
Nakamura K; Medical Systems Research & Development Center, FUJIFILM Corporation, Minato, Tokyo, Japan.
Iwano S; Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Kamiya S; Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Yamada K; Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Naganawa S; Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
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Źródło:
PloS one [PLoS One] 2024 Mar 21; Vol. 19 (3), pp. e0300325. Date of Electronic Publication: 2024 Mar 21 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Lung Neoplasms*/diagnostic imaging
Solitary Pulmonary Nodule*/diagnostic imaging
Humans ; Artificial Intelligence ; Tomography, X-Ray Computed/methods ; Lung ; Radiologists ; Radiographic Image Interpretation, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.
Autorzy:
Yoo SJ; Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul, Republic of Korea.
Park YS; Department of Internal Medicine, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Korea.
Choi H; Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea.
Kim DS; Departments of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea.
Goo JM; Department of radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Korea.
Yoon SH; Department of radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Korea.
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Źródło:
PloS one [PLoS One] 2024 Feb 22; Vol. 19 (2), pp. e0297390. Date of Electronic Publication: 2024 Feb 22 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Lung Neoplasms*/diagnostic imaging
Deep Learning*
Humans ; Female ; Middle Aged ; Aged ; Tomography, X-Ray Computed/methods ; Prospective Studies ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiation Dosage ; Lung/diagnostic imaging ; Image Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Effective lung nodule detection using deep CNN with dual attention mechanisms.
Autorzy:
UrRehman Z; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.
Qiang Y; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.; School of Software, North University of China, Taiyuan, China.
Wang L; Jinzhong College of Information, Jinzhong, China.
Shi Y; NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yang Q; Jinzhong College of Information, Jinzhong, China.
Khattak SU; Centre of Biotechnology and Microbiology, University of Peshawar, Peshawar, 25120, Pakistan.
Aftab R; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.
Zhao J; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China. .; Jinzhong College of Information, Jinzhong, China. .
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 16; Vol. 14 (1), pp. 3934. Date of Electronic Publication: 2024 Feb 16.
Typ publikacji:
Journal Article
MeSH Terms:
Solitary Pulmonary Nodule*/diagnostic imaging
Lung Neoplasms*/diagnostic imaging
Humans ; Neural Networks, Computer ; Lung/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Radiographic Image Interpretation, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Enhanced visualization in endoleak detection through iterative and AI-noise optimized spectral reconstructions.
Autorzy:
Kazimierczak W; Collegium Medicum, Nicolaus Copernicus University in Torun, Jagiellońska 13-15, 85-067, Bydgoszcz, Poland. .; Kazimierczak Private Medical Practice, Dworcowa 13/u6a, 85-009, Bydgoszcz, Poland. .; University Hospital No 1 in Bydgoszcz, Marii Skłodowskiej - Curie 9, 85-094, Bydgoszcz, Poland. .
Kazimierczak N; Kazimierczak Private Medical Practice, Dworcowa 13/u6a, 85-009, Bydgoszcz, Poland.
Wilamowska J; Collegium Medicum, Nicolaus Copernicus University in Torun, Jagiellońska 13-15, 85-067, Bydgoszcz, Poland.; University Hospital No 1 in Bydgoszcz, Marii Skłodowskiej - Curie 9, 85-094, Bydgoszcz, Poland.
Wojtowicz O; Collegium Medicum, Nicolaus Copernicus University in Torun, Jagiellońska 13-15, 85-067, Bydgoszcz, Poland.; University Hospital No 1 in Bydgoszcz, Marii Skłodowskiej - Curie 9, 85-094, Bydgoszcz, Poland.
Nowak E; University Hospital No 1 in Bydgoszcz, Marii Skłodowskiej - Curie 9, 85-094, Bydgoszcz, Poland.
Serafin Z; Collegium Medicum, Nicolaus Copernicus University in Torun, Jagiellońska 13-15, 85-067, Bydgoszcz, Poland.; University Hospital No 1 in Bydgoszcz, Marii Skłodowskiej - Curie 9, 85-094, Bydgoszcz, Poland.
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 15; Vol. 14 (1), pp. 3845. Date of Electronic Publication: 2024 Feb 15.
Typ publikacji:
Journal Article
MeSH Terms:
Endoleak*/diagnostic imaging
Radiography, Dual-Energy Scanned Projection*/methods
Humans ; Radiographic Image Interpretation, Computer-Assisted/methods ; Retrospective Studies ; Tomography, X-Ray Computed/methods ; Signal-To-Noise Ratio
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric.
Autorzy:
Chilukoti SV; School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, 70503, LA, USA.
Shan L; School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, 70503, LA, USA.
Tida VS; Department of Computer Science, College of Saint Benedict and Saint John's University, St. Joseph, MN, 56374, USA.
Maida AS; School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, 70503, LA, USA.
Hei X; School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, 70503, LA, USA. .
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Feb 06; Vol. 24 (1), pp. 37. Date of Electronic Publication: 2024 Feb 06.
Typ publikacji:
Journal Article
MeSH Terms:
Diabetic Retinopathy*/diagnosis
Diabetes Mellitus*
Physicians*
Humans ; Algorithms ; Machine Learning ; Image Interpretation, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparing x-ray phase-contrast imaging using a Talbot array illuminator to propagation-based imaging for non-homogeneous biomedical samples.
Autorzy:
Riedel M; Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany. .; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany. .; Institute of Materials Physics, Helmholtz-Zentrum Hereon, 21502, Geesthacht, Germany. .
Taphorn K; Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Gustschin A; Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Busse M; Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Hammel JU; Institute of Materials Physics, Helmholtz-Zentrum Hereon, 21502, Geesthacht, Germany.
Moosmann J; Institute of Materials Physics, Helmholtz-Zentrum Hereon, 21502, Geesthacht, Germany.
Beckmann F; Institute of Materials Physics, Helmholtz-Zentrum Hereon, 21502, Geesthacht, Germany.
Fischer F; Institute of Forensic Medicine, Ludwig-Maximilians Universitaet, Munich, Germany.
Thibault P; Department of Physics, University of Trieste, Trieste, Italy.
Herzen J; Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
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Źródło:
Scientific reports [Sci Rep] 2023 Apr 28; Vol. 13 (1), pp. 6996. Date of Electronic Publication: 2023 Apr 28.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Tomography, X-Ray Computed*/methods
Radiographic Image Interpretation, Computer-Assisted*/methods
X-Rays ; Microscopy, Phase-Contrast
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep learning neural network image analysis of immunohistochemical protein expression reveals a significantly reduced expression of biglycan in breast cancer.
Autorzy:
Thiesen AP; Universidade Federal do Rio Grande do Sul, Postgraduate Program in Health Science: Surgical Sciences, Porto Alegre, Rio Grande do Sul, Brazil.
Mielczarski B; Department of Obstetrics and Gynecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Savaris RF; Universidade Federal do Rio Grande do Sul, Postgraduate Program in Health Science: Surgical Sciences, Porto Alegre, Rio Grande do Sul, Brazil.; Department of Obstetrics and Gynecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
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Źródło:
PloS one [PLoS One] 2023 Mar 27; Vol. 18 (3), pp. e0282176. Date of Electronic Publication: 2023 Mar 27 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Breast Neoplasms*/diagnosis
Deep Learning*
Image Interpretation, Computer-Assisted*
Female ; Humans ; Biglycan/metabolism ; Biomarkers, Tumor ; Case-Control Studies ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans.
Autorzy:
Yamada K; Division of Clinical Technology, Tokushima University Hospital, Tokushima 7708503, Japan.
Kawata Y; Institute of Post-LED Photonics, Tokushima University, Tokushima 7708506, Japan.
Amano M; Division of Clinical Technology, Tokushima University Hospital, Tokushima 7708503, Japan.
Suzuki H; Institute of Post-LED Photonics, Tokushima University, Tokushima 7708506, Japan.
Tominaga M; Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima 7708503, Japan.
Sasaki M; Department of Therapeutic Radiology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima 7708503, Japan.
Nishiyama H; Department of Radiological Technology, Ehime University Hospital, Toon 7910295, Japan.
Harada M; Department of Radiology and Radiation Oncology, Tokushima University, Tokushima 7708503, Japan.
Niki N; Faculty of Science and Technology, Tokushima University, Tokushima 7708506, Japan.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Mar 26; Vol. 23 (7). Date of Electronic Publication: 2023 Mar 26.
Typ publikacji:
Journal Article
MeSH Terms:
Radiographic Image Interpretation, Computer-Assisted*/methods
Tomography, X-Ray Computed*/methods
Prospective Studies ; Phantoms, Imaging ; Radiation Dosage ; Algorithms ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension.
Autorzy:
Mamalakis M; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK. .; Department of Computer Science, University of Sheffield, 211 Portobello, Sheffield, S1 4DP, UK. .; Insigneo Institute for in silico Medicine, University of Sheffield, The Pam Liversidge Building, Sheffield, S1 3JD, UK. .
Dwivedi K; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK.; Insigneo Institute for in silico Medicine, University of Sheffield, The Pam Liversidge Building, Sheffield, S1 3JD, UK.
Sharkey M; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK.
Alabed S; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK.; Insigneo Institute for in silico Medicine, University of Sheffield, The Pam Liversidge Building, Sheffield, S1 3JD, UK.
Kiely D; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK.; Department of Cardiology, University of Sheffield, Sheffield Teaching Hospitals Sheffield, Sheffield, S5 7AU, UK.
Swift AJ; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK. .; Insigneo Institute for in silico Medicine, University of Sheffield, The Pam Liversidge Building, Sheffield, S1 3JD, UK. .
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Źródło:
Scientific reports [Sci Rep] 2023 Mar 07; Vol. 13 (1), pp. 3812. Date of Electronic Publication: 2023 Mar 07.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Hypertension, Pulmonary*/diagnostic imaging
Hypertension, Pulmonary*/etiology
Radiographic Image Interpretation, Computer-Assisted*
Lung Diseases*/complications
Lung Diseases*/diagnosis
Humans ; Artificial Intelligence ; Models, Anatomic ; Software ; Tomography, X-Ray Computed/methods ; Lung/diagnostic imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Relevance of the College of American Pathologists guideline for validating whole slide imaging for diagnostic purposes to cytopathology.
Autorzy:
Antonini P; Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
Santonicco N; Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
Pantanowitz L; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Girolami I; Department of Pathology, Provincial Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy.
Rizzo PC; Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
Brunelli M; Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
Bellevicine C; Public Health, University of Naples Federico II, Naples, Italy.
Vigliar E; Public Health, University of Naples Federico II, Naples, Italy.
Negri G; Department of Pathology, Provincial Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy.
Troncone G; Public Health, University of Naples Federico II, Naples, Italy.
Fadda G; Section of Pathological Anatomy, Department of Human Pathology in Adulthood and Childhood 'G. Barresi', University Hospital G. Martino, University of Messina, Messina, Italy.
Parwani A; Department of Pathology, The Ohio State University, Columbus, Ohio, USA.
Marletta S; Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
Eccher A; Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy.
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Źródło:
Cytopathology : official journal of the British Society for Clinical Cytology [Cytopathology] 2023 Jan; Vol. 34 (1), pp. 5-14. Date of Electronic Publication: 2022 Sep 26.
Typ publikacji:
Systematic Review; Journal Article; Review
MeSH Terms:
Microscopy*/methods
Image Interpretation, Computer-Assisted*/methods
Humans ; Observer Variation ; Cytodiagnosis/methods ; Laboratories
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Detector-trigger-based cardiac multiphase micro-CT imaging for small animals.
Autorzy:
Shi Y; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Li J; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Li K; Xi'an Key Laboratory for Prevention and Treatment of Common Aging Diseases, Translational and Research Centre for Prevention and Therapy of Chronic Disease, Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, China.
Zhang X; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Chang P; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Huang Z; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Liu Y; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Wang Y; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Zhan Y; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Cao X; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
Zhu S; School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China.
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Źródło:
Journal of X-ray science and technology [J Xray Sci Technol] 2023; Vol. 31 (5), pp. 1047-1066.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Heart*/diagnostic imaging
Radiographic Image Interpretation, Computer-Assisted*/methods
Mice ; Animals ; X-Ray Microtomography/methods ; Prospective Studies ; Phantoms, Imaging ; Artifacts
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Real-Time Video Synopsis via Dynamic and Adaptive Online Tube Resizing.
Autorzy:
Liao X; Department of Electronic Engineering, Shantou University, Shantou 515063, China.; Key Lab of Digital Signal and Image Processing of Guangdong Province, Shantou 515063, China.
Liu S; Department of Electronic Engineering, Shantou University, Shantou 515063, China.
Cai Z; Department of Electronic Engineering, Shantou University, Shantou 515063, China.; Key Lab of Digital Signal and Image Processing of Guangdong Province, Shantou 515063, China.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Nov 22; Vol. 22 (23). Date of Electronic Publication: 2022 Nov 22.
Typ publikacji:
Journal Article
MeSH Terms:
Image Interpretation, Computer-Assisted*/methods
Algorithms*
Video Recording/methods ; Motion
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification.
Autorzy:
Bilal A; College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Imran A; Department of Creative Technologies, Air University, Islamabad, Pakistan.
Baig TI; School of Life Science and Technology, University of Electronic Science and Technology of China UESTC, Chengdu, Sichuan, China.; School of Science and Technology, University of Management and Technology UMT, Lahore, Punjab, Pakistan.
Liu X; College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Long H; College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Alzahrani A; Faculty of Computer Science & Information Technology, Al Baha University, Al Baha, Saudi Arabia.
Shafiq M; School of Information Engineering, Qujing Normal University, Sichuan, China.
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Źródło:
PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0295951. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Diabetic Retinopathy*/diagnostic imaging
Diabetes Mellitus*
Humans ; Artificial Intelligence ; Support Vector Machine ; Image Interpretation, Computer-Assisted/methods ; Diagnosis, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Metabolic brain imaging with glucosamine CEST MRI: in vivo characterization and first insights.
Autorzy:
Rivlin M; School of Chemistry, Tel-Aviv University, Tel-Aviv, Israel.
Perlman O; Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel.; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.
Navon G; School of Chemistry, Tel-Aviv University, Tel-Aviv, Israel. .
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Źródło:
Scientific reports [Sci Rep] 2023 Dec 12; Vol. 13 (1), pp. 22030. Date of Electronic Publication: 2023 Dec 12.
Typ publikacji:
Journal Article
MeSH Terms:
Glucosamine*
Brain Neoplasms*
Humans ; Mice ; Animals ; Image Interpretation, Computer-Assisted/methods ; Brain/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Neuroimaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Application of double low-dose mode in left atrial-pulmonary venous computed tomography angiography.
Autorzy:
Zhang C; Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Zhang W; Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Shi K; Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China. .
Chen J; Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China. .
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Źródło:
Scientific reports [Sci Rep] 2023 Dec 07; Vol. 13 (1), pp. 21563. Date of Electronic Publication: 2023 Dec 07.
Typ publikacji:
Journal Article
MeSH Terms:
Computed Tomography Angiography*/methods
Iodine*
Humans ; Tomography, X-Ray Computed ; Veins ; Radiation Dosage ; Algorithms ; Radiographic Image Interpretation, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging.
Autorzy:
Chen Z; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Hua S; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gao J; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Chen Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gong Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shen Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tang X; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Emu Y; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Jin W; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hu C; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China. .
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Nov 23; Vol. 25 (1), pp. 68. Date of Electronic Publication: 2023 Nov 23.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Artifacts*
Humans ; Image Enhancement/methods ; Retrospective Studies ; Stroke Volume ; Image Interpretation, Computer-Assisted/methods ; Algorithms ; Predictive Value of Tests ; Reproducibility of Results ; Ventricular Function, Left ; Neural Networks, Computer ; Magnetic Resonance Imaging, Cine
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 5079

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