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Podgląd okładki
Tytuł :
Exciting experiences in the ' Rocky road to digital diagnostics '.
Autorzy :
Montironi R; Section of Pathological Anatomy, Polytechnic University of Marche, Ancona, Italy .
Cimadamore A; Section of Pathological Anatomy, Polytechnic University of Marche, Ancona, Italy.
Lopez-Beltran A; Pathology and Surgery, Universidad de Cordoba Facultad de Medicina y Enfermeria, Cordoba, Spain.
Cheng L; Pathology & Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Scarpelli M; Section of Pathological Anatomy, Polytechnic University of Marche, Ancona, Italy.
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Źródło :
Journal of clinical pathology [J Clin Pathol] 2021 Jan; Vol. 74 (1), pp. 5-6. Date of Electronic Publication: 2020 Nov 01.
Typ publikacji :
Editorial
MeSH Terms :
Algorithms*
Diagnosis, Computer-Assisted*
Image Processing, Computer-Assisted*
Pathology, Clinical*
Telepathology*
Artificial Intelligence ; Humans
Opinia redakcyjna
Szczegóły
Podgląd okładki
Tytuł :
Pathology without microscope: From a projection screen to a virtual slide.
Autorzy :
Montironi R; Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy. Electronic address: .
Cimadamore A; Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Scarpelli M; Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Cheng L; Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, USA.
Lopez-Beltran A; Department of Pathology and Surgery, Faculty of Medicine, Cordoba, Spain.
Mikuz G; Institute of Pathology, Medical University Innsbruck, Innsbruck, Austria.
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Źródło :
Pathology, research and practice [Pathol Res Pract] 2020 Nov; Vol. 216 (11), pp. 153196. Date of Electronic Publication: 2020 Sep 02.
Typ publikacji :
Letter
MeSH Terms :
Image Processing, Computer-Assisted*/instrumentation
Image Processing, Computer-Assisted*/methods
Pathology, Clinical*
Betacoronavirus/*pathogenicity
Coronavirus Infections/*pathology
Pneumonia, Viral/*pathology
COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/virology ; Humans ; Microscopy/methods ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/virology ; SARS-CoV-2
Opinia redakcyjna
Szczegóły
Podgląd okładki
Tytuł :
A new approach to monitor and assess the damage caused by two-spotted spider mite.
Autorzy :
Uygun T; Department of Biosystems Engineering, Tokat Gaziosmanpaşa University, 60150, Tokat, Turkey.
Ozguven MM; Department of Biosystems Engineering, Tokat Gaziosmanpaşa University, 60150, Tokat, Turkey. .
Yanar D; Department of Plant Protection, Tokat Gaziosmanpaşa University, 60150, Tokat, Turkey.
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Źródło :
Experimental & applied acarology [Exp Appl Acarol] 2020 Nov; Vol. 82 (3), pp. 335-346. Date of Electronic Publication: 2020 Oct 21.
Typ publikacji :
Journal Article
MeSH Terms :
Cucumis sativus*
Herbivory*
Image Processing, Computer-Assisted*
Tetranychidae*
Algorithms ; Animals ; Plant Leaves
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Deep Learning on chromatographic data for Segmentation and Sensitive Analysis.
Autorzy :
Qin Q; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Wang K; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Xu H; School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: .
Cao B; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Zheng W; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Jin Q; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, People's Republic of China; Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, People's Republic of China. Electronic address: .
Cui D; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
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Źródło :
Journal of chromatography. A [J Chromatogr A] 2020 Dec 20; Vol. 1634, pp. 461680. Date of Electronic Publication: 2020 Nov 05.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Image Processing, Computer-Assisted*
Chromatography/*methods
Immunoassay/methods ; Neural Networks, Computer
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance.
Autorzy :
Martini N; Deep Health Unit, Fondazione Toscana Gabriele Monasterio, Pisa-Massa, Italy. .
Aimo A; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.; Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Barison A; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.; Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Della Latta D; Deep Health Unit, Fondazione Toscana Gabriele Monasterio, Pisa-Massa, Italy.
Vergaro G; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.; Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Aquaro GD; Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Ripoli A; Deep Health Unit, Fondazione Toscana Gabriele Monasterio, Pisa-Massa, Italy.
Emdin M; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.; Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Chiappino D; Deep Health Unit, Fondazione Toscana Gabriele Monasterio, Pisa-Massa, Italy.
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Źródło :
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2020 Dec 07; Vol. 22 (1), pp. 84. Date of Electronic Publication: 2020 Dec 07.
Typ publikacji :
Journal Article; Validation Study
MeSH Terms :
Deep Learning*
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging, Cine*
Amyloid Neuropathies, Familial/*diagnostic imaging
Cardiomyopathy, Hypertrophic/*diagnostic imaging
Hypertrophy, Left Ventricular/*diagnostic imaging
Immunoglobulin Light-chain Amyloidosis/*diagnostic imaging
Aged ; Aged, 80 and over ; Amyloid Neuropathies, Familial/pathology ; Amyloid Neuropathies, Familial/physiopathology ; Cardiomyopathy, Hypertrophic/pathology ; Cardiomyopathy, Hypertrophic/physiopathology ; Female ; Humans ; Hypertrophy, Left Ventricular/pathology ; Hypertrophy, Left Ventricular/physiopathology ; Immunoglobulin Light-chain Amyloidosis/pathology ; Immunoglobulin Light-chain Amyloidosis/physiopathology ; Male ; Myocardium/pathology ; Predictive Value of Tests ; Reproducibility of Results ; Ventricular Function, Left ; Ventricular Remodeling
SCR Disease Name :
Amyloidosis, Hereditary, Transthyretin-Related
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Receiver Operating Characteristic (ROC) Analysis of Image Search-and-Localize Tasks.
Autorzy :
Jiang Y; Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC2026, Chicago, IL 60637. Electronic address: .
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Źródło :
Academic radiology [Acad Radiol] 2020 Dec; Vol. 27 (12), pp. 1742-1750. Date of Electronic Publication: 2020 Feb 05.
Typ publikacji :
Journal Article
MeSH Terms :
Image Processing, Computer-Assisted*
Monte Carlo Method ; ROC Curve
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Motion magnification analysis of microscopy videos of biological cells.
Autorzy :
Shabi O; School of Electrical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Natan S; School of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Kolel A; Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Mukherjee A; Rappaport Faculty of Medicine, Technion-IIT, Haifa, Israel.
Tchaicheeyan O; School of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Wolfenson H; Rappaport Faculty of Medicine, Technion-IIT, Haifa, Israel.
Kiryati N; School of Electrical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Lesman A; School of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
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Źródło :
PloS one [PLoS One] 2020 Nov 05; Vol. 15 (11), pp. e0240127. Date of Electronic Publication: 2020 Nov 05 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Cell Movement/*physiology
Image Processing, Computer-Assisted/*methods
Intravital Microscopy/*methods
Microscopy, Video/*methods
Time-Lapse Imaging/*methods
3T3 Cells ; Animals ; Image Processing, Computer-Assisted/instrumentation ; Intravital Microscopy/instrumentation ; Mice ; Microscopy, Video/instrumentation ; Time-Lapse Imaging/instrumentation
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Rapid image deconvolution and multiview fusion for optical microscopy.
Autorzy :
Guo M; Laboratory of High-Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA.
Li Y; State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.
Su Y; Laboratory of High-Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA.
Lambert T; Department of Cell Biology, Harvard Medical School, Boston, MA, USA.; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Nogare DD; Section on Neural Developmental Dynamics, Division of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Moyle MW; Departments of Neuroscience and Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Duncan LH; Departments of Neuroscience and Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Ikegami R; Departments of Neuroscience and Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Santella A; Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA.
Rey-Suarez I; Laboratory of High-Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA.; Biophysics Program, University of Maryland, College Park, MD, USA.
Green D; Women's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Beiriger A; Committee on Development, Regeneration and Stem Cell Biology, University of Chicago, Chicago, IL, USA.
Chen J; Advanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, USA.
Vishwasrao H; Advanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, USA.
Ganesan S; Biological Imaging Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Prince V; Committee on Development, Regeneration and Stem Cell Biology, University of Chicago, Chicago, IL, USA.; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, USA.
Waters JC; Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
Annunziata CM; Women's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Hafner M; Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD, USA.
Mohler WA; Department of Genetics and Genome Sciences and Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT, USA.
Chitnis AB; Section on Neural Developmental Dynamics, Division of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Upadhyaya A; Biophysics Program, University of Maryland, College Park, MD, USA.; Department of Physics, University of Maryland, College Park, MD, USA.; Institute for Physical Science and Technology, University of Maryland, College Park, MD, USA.
Usdin TB; Section on Fundamental Neuroscience, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Bao Z; Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA.
Colón-Ramos D; Departments of Neuroscience and Cell Biology, Yale University School of Medicine, New Haven, CT, USA.; Marine Biological Laboratory Fellows Program, Woods Hole, MA, USA.; Instituto de Neurobiología, Recinto de Ciencias Médicas, Universidad de Puerto Rico, San Juan, Puerto Rico.
La Riviere P; Marine Biological Laboratory Fellows Program, Woods Hole, MA, USA.; Department of Radiology, University of Chicago, Chicago, IL, USA.
Liu H; State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China. .
Wu Y; Laboratory of High-Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA. .
Shroff H; Laboratory of High-Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA.; Advanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, USA.; Marine Biological Laboratory Fellows Program, Woods Hole, MA, USA.
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Źródło :
Nature biotechnology [Nat Biotechnol] 2020 Nov; Vol. 38 (11), pp. 1337-1346. Date of Electronic Publication: 2020 Jun 29.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms :
Algorithms*
Image Processing, Computer-Assisted*
Microscopy*
Animals ; Brain/diagnostic imaging ; Caenorhabditis elegans/embryology ; Cell Line ; Deep Learning ; Humans ; Mice ; Zebrafish/embryology
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Deep learning on image denoising: An overview.
Autorzy :
Tian C; Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, 518055, Guangdong, China; Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, 518055, Guangdong, China.
Fei L; School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.
Zheng W; Tsinghua Shenzhen International Graduate School, Shenzhen, 518055, Guangdong, China.
Xu Y; Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, 518055, Guangdong, China; Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, 518055, Guangdong, China; Peng Cheng Laboratory, Shenzhen, 518055, Guangdong, China. Electronic address: .
Zuo W; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China; Peng Cheng Laboratory, Shenzhen, 518055, Guangdong, China.
Lin CW; Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan.
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Źródło :
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2020 Nov; Vol. 131, pp. 251-275. Date of Electronic Publication: 2020 Aug 06.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Deep Learning*
Image Processing, Computer-Assisted/*methods
Image Processing, Computer-Assisted/standards ; Signal-To-Noise Ratio
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
A Body Tracking-Based Low-Cost Solution for Monitoring Workers' Hygiene Best Practices during Pandemics.
Autorzy :
Manghisi VM; Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Fiorentino M; Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Boccaccio A; Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Gattullo M; Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Cascella GL; Department of Electrical Engineering and Information Technology, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Toschi N; Department of Biomedicine and Prevention, University of Rome 'Tor Vergata' Facoltà di Medicina e Chirurgia Viale Montpellier, 1, 00133 Rome, Italy.
Pietroiusti A; Department of Biomedicine and Prevention, University of Rome 'Tor Vergata' Facoltà di Medicina e Chirurgia Viale Montpellier, 1, 00133 Rome, Italy.
Uva AE; Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
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Źródło :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Oct 29; Vol. 20 (21). Date of Electronic Publication: 2020 Oct 29.
Typ publikacji :
Journal Article
MeSH Terms :
Health Personnel*
Wearable Electronic Devices*
Image Processing, Computer-Assisted/*methods
Algorithms ; Betacoronavirus/isolation & purification ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/prevention & control ; Coronavirus Infections/virology ; Disinfection/economics ; Disinfection/methods ; Humans ; Image Processing, Computer-Assisted/economics ; Image Processing, Computer-Assisted/instrumentation ; Occupational Health ; Pandemics/prevention & control ; Personal Protective Equipment ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/virology ; SARS-CoV-2
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
An image-based geometric model for numerical simulation of blood perfusion within the liver lobules.
Autorzy :
Ahmadi-Badejani R; Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran.
Mosharaf-Dehkordi M; Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran.
Ahmadikia H; Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran.
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Źródło :
Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2020 Oct; Vol. 23 (13), pp. 987-1004. Date of Electronic Publication: 2020 Jun 27.
Typ publikacji :
Journal Article
MeSH Terms :
Image Processing, Computer-Assisted*
Models, Anatomic*
Numerical Analysis, Computer-Assisted*
Perfusion*
Liver/*blood supply
Liver/*diagnostic imaging
Liver Circulation/*physiology
Animals ; Blood Flow Velocity ; Blood Pressure ; Computer Simulation ; Hemorheology ; Permeability ; Reproducibility of Results ; Swine
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
[Digital morphology analyzers in hematology: a French survey].
Autorzy :
Grimon N; Laboratoire d'hématologie, CHU Toulouse, France.
Ceccomarini T; Laboratoire d'hématologie, CHU Toulouse, France.
Maurel-Ribes A; Laboratoire d'hématologie, CHU Toulouse, France.
Rieu JB; Laboratoire d'hématologie, CHU Toulouse, France.
Mémier V; Laboratoire d'hématologie, CHU Toulouse, France.
Dubois-Galopin F; Laboratoire d'hématologie, CHU Toulouse, France.
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Transliterated Title :
État des lieux des pratiques d’utilisation du microscope automatisé en hématologie en France.
Źródło :
Annales de biologie clinique [Ann Biol Clin (Paris)] 2020 Oct 01; Vol. 78 (5), pp. 519-526.
Typ publikacji :
Journal Article
MeSH Terms :
Automation, Laboratory*/instrumentation
Automation, Laboratory*/methods
Automation, Laboratory*/statistics & numerical data
Image Processing, Computer-Assisted*/instrumentation
Image Processing, Computer-Assisted*/methods
Image Processing, Computer-Assisted*/statistics & numerical data
Image Processing, Computer-Assisted*/trends
Hematologic Tests/*instrumentation
Hematology/*instrumentation
Microscopy/*instrumentation
Attitude of Health Personnel ; Computers ; Diagnostic Tests, Routine/instrumentation ; Diagnostic Tests, Routine/methods ; Diagnostic Tests, Routine/statistics & numerical data ; Diagnostic Tests, Routine/trends ; France/epidemiology ; Hematologic Tests/methods ; Hematologic Tests/statistics & numerical data ; Hematologic Tests/trends ; Hematology/methods ; Hematology/statistics & numerical data ; Hematology/trends ; Humans ; Job Satisfaction ; Microscopy/methods ; Microscopy/statistics & numerical data ; Microscopy/trends ; Professional Practice/statistics & numerical data ; Professional Practice/trends ; Quality Control ; Surveys and Questionnaires
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network.
Autorzy :
Xiong Z; Electronic Information School, Wuhan University, Wuhan, China.
Lin M; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China.
Lin Z; Computer and Science School, Wuhan University, Wuhan, China.
Sun T; Electronic Information School, Wuhan University, Wuhan, China.
Yang G; Electronic Information School, Wuhan University, Wuhan, China.
Wang Z; State Key Laboratory of Bridge Structure Health and Safety, Wuhan, China.
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Źródło :
PloS one [PLoS One] 2020 Oct 29; Vol. 15 (10), pp. e0241313. Date of Electronic Publication: 2020 Oct 29 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Deep Learning*
Image Processing, Computer-Assisted*
Models, Theoretical*
Neural Networks, Computer*
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Performance vs. competence in human-machine comparisons.
Autorzy :
Firestone C; Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218 .
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Źródło :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2020 Oct 27; Vol. 117 (43), pp. 26562-26571. Date of Electronic Publication: 2020 Oct 13.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Image Processing, Computer-Assisted*
Knowledge*
Brain/*physiology
Visual Perception/*physiology
Animals ; Humans ; Machine Learning ; Species Specificity
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Computer vision supported pedestrian tracking: A demonstration on trail bridges in rural Rwanda.
Autorzy :
Thomas E; Mortenson Center in Global Engineering, University of Colorado Boulder, Boulder, Colorado, United States of America.
Gerster S; Mortenson Center in Global Engineering, University of Colorado Boulder, Boulder, Colorado, United States of America.
Mugabo L; Amazi Yego Ltd., Kigali, Rwanda.
Jean H; Synaptiq Inc., Portland, Oregon, United States of America.
Oates T; Synaptiq Inc., Portland, Oregon, United States of America.; Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, Maryland, United States of America.
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Źródło :
PloS one [PLoS One] 2020 Oct 26; Vol. 15 (10), pp. e0241379. Date of Electronic Publication: 2020 Oct 26 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Algorithms*
Image Processing, Computer-Assisted*
Pedestrians*
Rural Population*
Costs and Cost Analysis ; Humans ; Movement ; Rwanda
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Automated classification of bacterial cell sub-populations with convolutional neural networks.
Autorzy :
Tamiev D; Department of Biochemistry Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, United States of America.
Furman PE; Department of Biochemistry Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, United States of America.
Reuel NF; Department of Chemical and Biological Engineering, Iowa State University, Ames, Iowa, United States of America.
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Źródło :
PloS one [PLoS One] 2020 Oct 26; Vol. 15 (10), pp. e0241200. Date of Electronic Publication: 2020 Oct 26 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Image Processing, Computer-Assisted*
Neural Networks, Computer*
Bacterial Load/*methods
Microscopy, Fluorescence/*methods
Algorithms ; Bacillus subtilis/growth & development
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Harmonization of radiomic feature variability resulting from differences in CT image acquisition and reconstruction: assessment in a cadaveric liver.
Autorzy :
Foy JJ; Department of Radiology, University of Chicago, Chicago, IL, 60637, United States of America.
Al-Hallaq HA
Grekoski V
Tran T
Guruvadoo K
Armato Iii SG
Sensakovic WF
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Źródło :
Physics in medicine and biology [Phys Med Biol] 2020 Oct 16; Vol. 65 (20), pp. 205008. Date of Electronic Publication: 2020 Oct 16.
Typ publikacji :
Comparative Study; Journal Article
MeSH Terms :
Tomography, X-Ray Computed*
Image Processing, Computer-Assisted/*methods
Liver/*diagnostic imaging
Cadaver ; Humans ; Image Processing, Computer-Assisted/standards ; Male ; Phantoms, Imaging ; Reference Standards
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Blood Flow Imaging with Ultrafast Doppler.
Autorzy :
Baranger J; Translational Medicine Department, The Hospital for Sick Children, PGCRL Research Institute; The Labatt Family Heart Centre, Department of Pediatric, The Hospital for Sick Children, University of Toronto.
Mertens L; Translational Medicine Department, The Hospital for Sick Children, PGCRL Research Institute; The Labatt Family Heart Centre, Department of Pediatric, The Hospital for Sick Children, University of Toronto.
Villemain O; Translational Medicine Department, The Hospital for Sick Children, PGCRL Research Institute; The Labatt Family Heart Centre, Department of Pediatric, The Hospital for Sick Children, University of Toronto; Medical Biophysics Department, University of Toronto; .
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Źródło :
Journal of visualized experiments : JoVE [J Vis Exp] 2020 Oct 14 (164). Date of Electronic Publication: 2020 Oct 14.
Typ publikacji :
Journal Article; Video-Audio Media
MeSH Terms :
Image Processing, Computer-Assisted*
Blood Circulation/*physiology
Ultrasonography, Doppler/*methods
Adult ; Algorithms ; Blood Flow Velocity/physiology ; Hemodynamics ; Humans ; Infant, Newborn ; Phantoms, Imaging
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 509667

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