Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę ""deep learning"" wg kryterium: Temat


Tytuł:
Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques.
Autorzy:
Kurt B; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey. .
Gürlek B; Faculty of Medicine, Department of Gynecology and Obstetrics, Recep Tayyip Erdoğan University, Rize, Turkey.
Keskin S; Faculty of Medicine, Department of Gynecology and Obstetrics, Ordu University, Ordu, Turkey.
Özdemir S; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Karadeniz Ö; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Kırkbir İB; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Kurt T; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Ünsal S; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Kart C; Faculty of Medicine, Department of Gynecology and Obstetrics, Karadeniz Technical University, Trabzon, Turkey.
Baki N; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Turhan K; Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon, Turkey.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jul; Vol. 61 (7), pp. 1649-1660. Date of Electronic Publication: 2023 Feb 27.
Typ publikacji:
Journal Article
MeSH Terms:
Diabetes, Gestational*/diagnosis
Deep Learning*
Humans ; Female ; Pregnancy ; Prospective Studies ; Bayes Theorem ; Machine Learning
Czasopismo naukowe
Tytuł:
An automated segmentation of coronary artery calcification using deep learning in specific region limitation.
Autorzy:
Zair AM; University of Blida 01, B.P 270, Soumaa road, Blida, Algeria. .
Bouzouad Cherfa A; University of Blida 01, B.P 270, Soumaa road, Blida, Algeria.
Cherfa Y; University of Blida 01, B.P 270, Soumaa road, Blida, Algeria.
Belkhamsa N; University of Blida 01, B.P 270, Soumaa road, Blida, Algeria.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jul; Vol. 61 (7), pp. 1687-1696. Date of Electronic Publication: 2023 Mar 04.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Coronary Artery Disease*/diagnostic imaging
Humans ; Heart ; Neural Networks, Computer
Czasopismo naukowe
Tytuł:
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds.
Autorzy:
Ulukaya S; Department of Electrical and Electronics Engineering, Trakya University, Edirne, 22030, Turkey. .
Sarıca AA; Department of Electrical and Electronics Engineering, Trakya University, Edirne, 22030, Turkey.
Erdem O; Department of Electrical and Electronics Engineering, Trakya University, Edirne, 22030, Turkey.
Karaali A; The Irish Longitudinal Study on Ageing (TILDA), School of Medicine, Trinity College Dublin, Dublin, D02 R590, Ireland.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jul; Vol. 61 (7), pp. 1619-1629. Date of Electronic Publication: 2023 Feb 24.
Typ publikacji:
Journal Article
MeSH Terms:
COVID-19*/diagnosis
Deep Learning*
Humans ; SARS-CoV-2 ; Cough/diagnosis ; Lung
Czasopismo naukowe
Tytuł:
A survey of machine learning-based methods for COVID-19 medical image analysis.
Autorzy:
Sailunaz K; Department of Computer Science, University of Calgary, Calgary, AB, Canada.
Özyer T; Department of Computer Engineering, Ankara Medipol University, Ankara, Turkey.
Rokne J; Department of Computer Science, University of Calgary, Calgary, AB, Canada.
Alhajj R; Department of Computer Science, University of Calgary, Calgary, AB, Canada. .; Department of Computer Engineering, Istanbul Medipol University, Istanbul, Turkey. .; Department of Health Informatics, University of Southern Denmark, Odense, Denmark. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jun; Vol. 61 (6), pp. 1257-1297. Date of Electronic Publication: 2023 Jan 28.
Typ publikacji:
Journal Article; Review
MeSH Terms:
COVID-19*
Deep Learning*
Humans ; SARS-CoV-2 ; Artificial Intelligence ; Pandemics ; Machine Learning
Czasopismo naukowe
Tytuł:
A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation.
Autorzy:
An M; The Research Center of Intelligent Medical Information Processing, School of Information Science and Engineering, Shandong University, Qingdao, 266237, China.; Shenzhen Keya Medical Technology Corporation, 2B-604 Tianan Cyber Park, Longcheng Street, Shenzhen, 518000, China.
Li J; Shenzhen Keya Medical Technology Corporation, 2B-604 Tianan Cyber Park, Longcheng Street, Shenzhen, 518000, China.
Xu X; Shenzhen Keya Medical Technology Corporation, 2B-604 Tianan Cyber Park, Longcheng Street, Shenzhen, 518000, China.
Schoepf UJ; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Savage RH; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Cao K; Shenzhen Keya Medical Technology Corporation, 2B-604 Tianan Cyber Park, Longcheng Street, Shenzhen, 518000, China.
Song Q; Shenzhen Keya Medical Technology Corporation, 2B-604 Tianan Cyber Park, Longcheng Street, Shenzhen, 518000, China.
Wang Z; Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Science, The State and Shandong Province Joint Key Laboratory of Translational Medicine, Jinan, 250012, China.
Liu Z; The Research Center of Intelligent Medical Information Processing, School of Information Science and Engineering, Shandong University, Qingdao, 266237, China.
Li Y; Shenzhen Keya Medical Technology Corporation, 2B-604 Tianan Cyber Park, Longcheng Street, Shenzhen, 518000, China. .
Zhang P; Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Science, The State and Shandong Province Joint Key Laboratory of Translational Medicine, Jinan, 250012, China. .; Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, No.107 Wenhuaxi Road, Jinan, 250012, Shandong, China. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jun; Vol. 61 (6), pp. 1507-1520. Date of Electronic Publication: 2023 Feb 11.
Typ publikacji:
Journal Article
MeSH Terms:
Coronary Artery Disease*/diagnostic imaging
Fractional Flow Reserve, Myocardial*
Deep Learning*
Myocardial Ischemia*/diagnostic imaging
Myocardial Perfusion Imaging*/methods
Coronary Stenosis*
Humans ; Computed Tomography Angiography/methods ; Predictive Value of Tests ; Coronary Angiography/methods
Czasopismo naukowe
Tytuł:
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer.
Autorzy:
Wang T; Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.; State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, 100084, China.; Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China.
Nie Z; Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China. .; State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, 100084, China. .; Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China. .
Wang R; School of System & Enterprises, Stevens Institute of Technology, Hoboken, NJ, 07030, USA.
Xu Q; Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.; National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100060, China.
Huang H; Institute of Sports Medicine, Peking University Third Hospital, Beijing, 100091, China.
Xu H; Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.; State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, 100084, China.; Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China.
Xie F; Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.; State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, 100084, China.; Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China.
Liu XJ; Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.; State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, 100084, China.; Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jun; Vol. 61 (6), pp. 1395-1408. Date of Electronic Publication: 2023 Jan 31.
Typ publikacji:
Journal Article
MeSH Terms:
COVID-19*/diagnostic imaging
Deep Learning*
Pneumonia*/diagnostic imaging
Humans ; X-Rays ; SARS-CoV-2 ; Algorithms ; COVID-19 Testing
Czasopismo naukowe
Tytuł:
Cervical cell classification with deep-learning algorithms.
Autorzy:
Xu L; School of Information and Communication Engineering and School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
Cai F; School of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, One Health Institute, Hainan University, Haikou, 570228, China. .
Fu Y; School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
Liu Q; School of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, Sanya Research Institute of Hainan University, Hainan University, Haikou, 570228, China. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Mar; Vol. 61 (3), pp. 821-833. Date of Electronic Publication: 2023 Jan 10.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Uterine Cervical Neoplasms*/diagnosis
Female ; Humans ; Neural Networks, Computer ; Algorithms ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Tytuł:
An end-end deep learning framework for lesion segmentation on multi-contrast MR images-an exploratory study in a rat model of traumatic brain injury.
Autorzy:
Kn BP; Clinical Data Analytics & Radiomics, Cellular Image Informatics, Bioinformatics Institute, A*STAR, 30 Biopolis St Matrix, Singapore, 138671, Singapore. bhanu_.; Cellular Image Informatics, Bioinformatics Institute, A*STAR Horizontal Technology Centers, Singapore, Singapore. bhanu_.
Cs A; Clinical Data Analytics & Radiomics, Cellular Image Informatics, Bioinformatics Institute, A*STAR, 30 Biopolis St Matrix, Singapore, 138671, Singapore.
Mohammed A; Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD, 4072, Australia.
Chitta KK; Signal and Image Processing Group, Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, A*STAR, 02-02 Helios 11, Biopolis Way, Singapore, 138667, Singapore.
To XV; Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD, 4072, Australia.
Srour H; Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD, 4072, Australia.
Nasrallah F; Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD, 4072, Australia.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Mar; Vol. 61 (3), pp. 847-865. Date of Electronic Publication: 2023 Jan 10.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Brain Injuries, Traumatic*/diagnostic imaging
Rats ; Animals ; Rats, Sprague-Dawley ; Magnetic Resonance Imaging ; Cohort Studies ; Image Processing, Computer-Assisted
Czasopismo naukowe
Tytuł:
Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images.
Autorzy:
Boulenger A; Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing, 100084, China.
Luo Y; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
Zhang C; Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing, 100084, China.
Zhao C; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
Gao Y; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
Xiao M; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
Zhu Q; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China. .
Tang J; Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing, 100084, China. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Feb; Vol. 61 (2), pp. 567-578. Date of Electronic Publication: 2022 Dec 21.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Triple Negative Breast Neoplasms*/diagnostic imaging
Breast Neoplasms*/diagnostic imaging
Humans ; Female ; Retrospective Studies ; Ultrasonography/methods
Czasopismo naukowe
Tytuł:
Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics.
Autorzy:
Zhang Y; Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.; Department of Radiological Sciences, University of California, 164 Irvine Hall, Irvine, CA, 92697, USA.
Li W; Department of Radiology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Zhang Z; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xue Y; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Liu YL; Department of Radiological Sciences, University of California, 164 Irvine Hall, Irvine, CA, 92697, USA.
Nie K; Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Su MY; Department of Radiological Sciences, University of California, 164 Irvine Hall, Irvine, CA, 92697, USA. .
Ye Q; High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 350 Shushanhu Road, Hefei, 230031, Anhui, People's Republic of China. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Mar; Vol. 61 (3), pp. 757-771. Date of Electronic Publication: 2023 Jan 04.
Typ publikacji:
Journal Article
MeSH Terms:
Prostatic Hyperplasia*/diagnostic imaging
Deep Learning*
Prostatic Neoplasms*/diagnosis
Male ; Humans ; Diagnosis, Differential ; Magnetic Resonance Imaging/methods ; Contrast Media ; Retrospective Studies
Czasopismo naukowe
Tytuł:
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.
Autorzy:
Migliorelli L; Università Politecnica delle Marche, Department of Information Engineering, Ancona, Italy.
Cacciatore A; Università Degli Studi di Macerata, Department of Humanities, Languages, Mediation, History, Arts, Philosophy, Macerata, Italy. .
Ottaviani V; Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milan, Italy.
Berardini D; Università Politecnica delle Marche, Department of Information Engineering, Ancona, Italy.
Dellaca' RL; Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milan, Italy.
Frontoni E; Università Degli Studi di Macerata, Department of Political Sciences, Communication, and International Relations, Macerata, Italy.
Moccia S; The BioRobotics Institute, Scuola Superiore Sant'Anna, Department of Excellence in Robotics and AI, Pisa, Italy.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Feb; Vol. 61 (2), pp. 387-397. Date of Electronic Publication: 2022 Nov 28.
Typ publikacji:
Journal Article
MeSH Terms:
Infant, Premature*
Deep Learning*
Infant ; Humans ; Infant, Newborn ; Neural Networks, Computer ; Algorithms
Czasopismo naukowe
Tytuł:
An automated unsupervised deep learning-based approach for diabetic retinopathy detection.
Autorzy:
Naz H; Department of Computer Science, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248007, India. .
Nijhawan R; Department of Computer Science, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248007, India.
Ahuja NJ; Department of Computer Science, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248007, India.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Dec; Vol. 60 (12), pp. 3635-3654. Date of Electronic Publication: 2022 Oct 24.
Typ publikacji:
Journal Article
MeSH Terms:
Diabetic Retinopathy*/diagnosis
Deep Learning*
Diabetes Mellitus*
Humans ; Neural Networks, Computer ; Algorithms ; Retina
Czasopismo naukowe
Tytuł:
A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet.
Autorzy:
Di Cosmo M; Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131, Ancona, AN, Italy. .
Fiorentino MC; Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131, Ancona, AN, Italy.
Villani FP; Department of Humanities, Università di Macerata, Macerata, Italy.
Frontoni E; Department of Political Sciences, Communication and International Relations, Università di Macerata, Macerata, Italy.
Smerilli G; Rheumatology Unit, Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, 'Carlo Urbani' Hospital, Ancona, Italy.
Filippucci E; Rheumatology Unit, Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, 'Carlo Urbani' Hospital, Ancona, Italy.
Moccia S; The BioRobotics Institute, Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Nov; Vol. 60 (11), pp. 3255-3264. Date of Electronic Publication: 2022 Sep 24.
Typ publikacji:
Journal Article
MeSH Terms:
Carpal Tunnel Syndrome*/diagnostic imaging
Carpal Tunnel Syndrome*/pathology
Deep Learning*
Bays ; Humans ; Median Nerve/anatomy & histology ; Median Nerve/pathology ; Ultrasonography/methods ; Wrist/diagnostic imaging
Czasopismo naukowe
Tytuł:
Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet.
Autorzy:
Zhang G; Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, 300384, China.; National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Technology, Tianjin, 300384, China.
Yang Z; School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.
Jiang S; School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China. .; Centre for Advanced Mechanisms and Robotics, Tianjin University, 135 Yaguan Road, Jinnan District, Tianjin, 300350, China. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Nov; Vol. 60 (11), pp. 3311-3323. Date of Electronic Publication: 2022 Sep 28.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Lung Neoplasms*/diagnostic imaging
Algorithms ; Humans ; Image Processing, Computer-Assisted/methods ; Thorax ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł:
A comprehensive survey on deep learning techniques in CT image quality improvement.
Autorzy:
Li D; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110819, China.
Ma L; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110819, China.
Li J; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110819, China.
Qi S; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110819, China.
Yao Y; Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, 07039, USA.
Teng Y; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110819, China. .; Key Laboratory of Medical Image Intelligent Computing, Ministry of Education, Shenyang, 110169, China. .
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Oct; Vol. 60 (10), pp. 2757-2770. Date of Electronic Publication: 2022 Aug 13.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Deep Learning*
Algorithms ; Image Processing, Computer-Assisted/methods ; Quality Improvement ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Tytuł:
MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation.
Autorzy:
Chen X; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Peng Y; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China. .; Shandong Province Key Laboratory of Wisdom Mining Information Technology, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China. .
Guo Y; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Sun J; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Li D; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Cui J; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Dec; Vol. 60 (12), pp. 3377-3395. Date of Electronic Publication: 2022 Oct 03.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Brain Neoplasms*/diagnostic imaging
Brain Neoplasms*/pathology
Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods ; Algorithms ; Disease Progression
Czasopismo naukowe
Tytuł:
Good view frames from ultrasonography (USG) video containing ONS diameter using state-of-the-art deep learning architectures.
Autorzy:
Singh M; Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. .
Kumar B; Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India.
Agrawal D; JPNATC, All India Institute of Medical Sciences, New Delhi, India.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Dec; Vol. 60 (12), pp. 3397-3417. Date of Electronic Publication: 2022 Oct 03.
Typ publikacji:
Journal Article
MeSH Terms:
Intracranial Pressure*/physiology
Deep Learning*
Humans ; Optic Nerve/diagnostic imaging ; Prospective Studies ; Ultrasonography/methods
Czasopismo naukowe
Tytuł:
Deep learning-based dental implant recognition using synthetic X-ray images.
Autorzy:
Kohlakala A; Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa. .
Coetzer J; Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa. .
Bertels J; ESAT, Centre for Processing Speech and Images, KU Leuven, Leuven, Belgium.
Vandermeulen D; ESAT, Centre for Processing Speech and Images, KU Leuven, Leuven, Belgium.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Oct; Vol. 60 (10), pp. 2951-2968. Date of Electronic Publication: 2022 Aug 18.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Dental Implants*
Algorithms ; X-Rays
Czasopismo naukowe
Tytuł:
Real-time denoising of ultrasound images based on deep learning.
Autorzy:
Cammarasana S; CNR-IMATI, Via De Marini 6, Genoa, Italy. .
Nicolardi P; Esaote S.p.A., Via E. Melen 7, Genoa, Italy.
Patanè G; CNR-IMATI, Via De Marini 6, Genoa, Italy.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Aug; Vol. 60 (8), pp. 2229-2244. Date of Electronic Publication: 2022 Jun 07.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Algorithms ; Image Processing, Computer-Assisted/methods ; Signal-To-Noise Ratio ; Ultrasonography
Czasopismo naukowe
Tytuł:
Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.
Autorzy:
Venkataramana L; Department of CSE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India. .
Prasad DVV; Department of CSE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India.
Saraswathi S; Department of CSE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India.
Mithumary CM; Department of CSE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India.
Karthikeyan R; Department of CSE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India.
Monika N; Department of CSE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Sep; Vol. 60 (9), pp. 2681-2691. Date of Electronic Publication: 2022 Jul 14.
Typ publikacji:
Journal Article
MeSH Terms:
COVID-19*
Deep Learning*
Lung Diseases*
Pneumonia, Viral*/diagnostic imaging
Tuberculosis*
Humans
Czasopismo naukowe

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies