Informacja

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

Przeglądasz jako GOŚĆ

Wyszukujesz frazę ""Diagnosis, Computer-Assisted"" wg kryterium: Temat


Tytuł :
Computer-aided diagnosis system for the classification of multi-class kidney abnormalities in the noisy ultrasound images.
Autorzy :
Sudharson S; Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai-600127, India.
Kokil P; Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai-600127, India. Electronic address: .
Pokaż więcej
Źródło :
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2021 Jun; Vol. 205, pp. 106071. Date of Electronic Publication: 2021 Apr 08.
Typ publikacji :
Journal Article
MeSH Terms :
Diagnosis, Computer-Assisted*
Kidney Diseases*/diagnostic imaging
Bayes Theorem ; Computers ; Humans ; Kidney/diagnostic imaging
Czasopismo naukowe
Tytuł :
Accurately Discriminating COVID-19 from Viral and Bacterial Pneumonia According to CT Images Via Deep Learning.
Autorzy :
Zheng F; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.
Li L; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Zhang X; Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510530, China.
Song Y; School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.
Huang Z; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.
Chong Y; Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510220, China.
Chen Z; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.; National Supercomputing Center in Guangzhou, Guangzhou, 510006, China.
Zhu H; College of Information Science and Technology, Jinan University, Guangzhou, 510632, China.
Wu J; School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, 510006, China.
Chen W; School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510006, China.
Lu Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.; National Supercomputing Center in Guangzhou, Guangzhou, 510006, China.
Yang Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China. .; National Supercomputing Center in Guangzhou, Guangzhou, 510006, China. .
Zha Y; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China. .
Zhao H; Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510530, China. .
Shen J; Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510530, China. .
Pokaż więcej
Źródło :
Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2021 Jun; Vol. 13 (2), pp. 273-285. Date of Electronic Publication: 2021 Feb 27.
Typ publikacji :
Comparative Study; Journal Article
MeSH Terms :
Deep Learning*
Diagnosis, Computer-Assisted*
Multidetector Computed Tomography*
Radiographic Image Interpretation, Computer-Assisted*
COVID-19/*diagnostic imaging
Lung/*diagnostic imaging
Pneumonia, Bacterial/*diagnostic imaging
Pneumonia, Viral/*diagnostic imaging
COVID-19/virology ; Case-Control Studies ; Diagnosis, Differential ; Humans ; Lung/microbiology ; Lung/virology ; Pneumonia, Bacterial/microbiology ; Pneumonia, Viral/virology ; Predictive Value of Tests ; Reproducibility of Results
Czasopismo naukowe
Tytuł :
DON: Deep Learning and Optimization-Based Framework for Detection of Novel Coronavirus Disease Using X-ray Images.
Autorzy :
Dhiman G; Department of Computer Science, Government Bikram College of Commerce, Punjabi University, Patiala, 147001, Punjab, India. .
Vinoth Kumar V; Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore, India.
Kaur A; Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India.
Sharma A; Institute of Computer Technology and Information Security, Southern Federal University, Rostov-on-Don, Russia.
Pokaż więcej
Źródło :
Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2021 Jun; Vol. 13 (2), pp. 260-272. Date of Electronic Publication: 2021 Feb 15.
Typ publikacji :
Comparative Study; Journal Article
MeSH Terms :
Deep Learning*
Diagnosis, Computer-Assisted*
Radiographic Image Interpretation, Computer-Assisted*
Radiography, Thoracic*
COVID-19/*diagnostic imaging
Lung/*diagnostic imaging
COVID-19/virology ; Decision Trees ; Humans ; Lung/virology ; Predictive Value of Tests ; Reproducibility of Results
Czasopismo naukowe
Tytuł :
Deep Convolutional Neural Network-Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study.
Autorzy :
Ghaderzadeh M; Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Asadi F; Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jafari R; Department of Radiology, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Bashash D; Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abolghasemi H; Pediatric Congenital Hematologic Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Aria M; Department of Computer Engineering, Faculty of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Pokaż więcej
Źródło :
Journal of medical Internet research [J Med Internet Res] 2021 Apr 26; Vol. 23 (4), pp. e27468. Date of Electronic Publication: 2021 Apr 26.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Diagnosis, Computer-Assisted*
COVID-19/*diagnostic imaging
COVID-19/*virology
Lung/*diagnostic imaging
Lung/*virology
SARS-CoV-2/*isolation & purification
Datasets as Topic ; Early Diagnosis ; Humans ; Pandemics ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph.
Autorzy :
Jin W; School of Medicine, Shanghai Jiao Tong University, 200025, Shanghai, PR China.
Dong S; School of Traffic and Transportation Engineering, Central South University, 410075, Hunan, PR China.
Dong C; Department of Bioengineering, School of Engineering and Science, University of Pennsylvania, 19104, Philadelphia, USA.
Ye X; Department of Radiology, Shanghai Chest Hospital Shanghai Jiao Tong University, 200030, Shanghai, PR China. Electronic address: .
Pokaż więcej
Źródło :
Computers in biology and medicine [Comput Biol Med] 2021 Apr; Vol. 131, pp. 104252. Date of Electronic Publication: 2021 Feb 02.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
COVID-19*/diagnostic imaging
COVID-19*/epidemiology
Diagnosis, Computer-Assisted*
Neural Networks, Computer*
Pandemics*
SARS-CoV-2*
Tomography, X-Ray Computed*
Diagnosis, Differential ; Humans ; Models, Biological
Czasopismo naukowe
Tytuł :
Discovering symptom patterns of COVID-19 patients using association rule mining.
Autorzy :
Tandan M; Cecil G Sheps Center for Health Service Research, University of North Carolina, Chapel Hill, USA. Electronic address: .
Acharya Y; Western Vascular Institute, Galway University Hospital, Galway, Ireland. Electronic address: .
Pokharel S; The University of Queensland, St Lucia, Queensland, Australia. Electronic address: .
Timilsina M; Data Science Institute, Insight Centre for Data Analytics, National University of Ireland Galway, Ireland. Electronic address: .
Pokaż więcej
Źródło :
Computers in biology and medicine [Comput Biol Med] 2021 Apr; Vol. 131, pp. 104249. Date of Electronic Publication: 2021 Feb 01.
Typ publikacji :
Journal Article
MeSH Terms :
COVID-19*/diagnosis
COVID-19*/epidemiology
COVID-19*/metabolism
Data Mining*
Databases, Factual*
Diagnosis, Computer-Assisted*
Pandemics*
SARS-CoV-2/*metabolism
Biomarkers/metabolism ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation.
Autorzy :
Sánchez de la Nava AM; Department of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Hospital General Universitario Gregorio Marañón, Madrid, Spain.; CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.; Universitat Politècnica de València, València, Spain.
Atienza F; Department of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Hospital General Universitario Gregorio Marañón, Madrid, Spain.; CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Bermejo J; Department of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Hospital General Universitario Gregorio Marañón, Madrid, Spain.; CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Fernández-Avilés F; Department of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Hospital General Universitario Gregorio Marañón, Madrid, Spain.; CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Pokaż więcej
Źródło :
American journal of physiology. Heart and circulatory physiology [Am J Physiol Heart Circ Physiol] 2021 Apr 01; Vol. 320 (4), pp. H1337-H1347. Date of Electronic Publication: 2021 Jan 29.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms :
Artificial Intelligence*
Diagnosis, Computer-Assisted*
Heart Function Tests*
Therapy, Computer-Assisted*
Atrial Fibrillation/*diagnosis
Atrial Fibrillation/*therapy
Action Potentials ; Atrial Fibrillation/physiopathology ; Clinical Decision-Making ; Heart Conduction System/physiopathology ; Heart Rate ; Humans ; Machine Learning ; Neural Networks, Computer ; Pattern Recognition, Automated ; Predictive Value of Tests
Czasopismo naukowe
Tytuł :
Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis.
Autorzy :
Andrade DSM; Electronic Engineering Post-Graduation Program, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Ribeiro LM; Electronic Engineering Post-Graduation Program, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Lopes AJ; Pulmonary Function Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Amaral JLM; Department of Electronics and Telecommunications Engineering, Rio de Janeiro State University, Rio de Janeiro, Brazil.
Melo PL; Biomedical Instrumentation Laboratory, Institute of Biology Roberto Alcantara Gomes and Laboratory of Clinical and Experimental Research in Vascular Biology (BioVasc), State University of Rio de Janeiro - Haroldo Lisboa da Cunha Pavilion, number 104 and 105, São Francisco Xavier Street 524 Maracanã, Rio de Janeiro, RJ, Zip Code: 20.550-013, Brazil. .
Pokaż więcej
Źródło :
Biomedical engineering online [Biomed Eng Online] 2021 Mar 25; Vol. 20 (1), pp. 31. Date of Electronic Publication: 2021 Mar 25.
Typ publikacji :
Journal Article
MeSH Terms :
Diagnosis, Computer-Assisted*
Machine Learning*
Oscillometry*
Respiration Disorders/*complications
Respiration Disorders/*diagnosis
Scleroderma, Systemic/*complications
Scleroderma, Systemic/*diagnosis
Adolescent ; Adult ; Aged ; Algorithms ; Artificial Intelligence ; Biometry ; Computers ; Female ; Humans ; Male ; Middle Aged ; Spirometry ; Young Adult
Czasopismo naukowe
Tytuł :
Hyperparameter Optimization for COVID-19 Pneumonia Diagnosis Based on Chest CT.
Autorzy :
Lacerda P; Institute of Computing, Fluminense Federal University, Niteroi, RJ 24.310-346, Brazil.
Barros B; Institute of Computing, Fluminense Federal University, Niteroi, RJ 24.310-346, Brazil.
Albuquerque C; Institute of Computing, Fluminense Federal University, Niteroi, RJ 24.310-346, Brazil.
Conci A; Institute of Computing, Fluminense Federal University, Niteroi, RJ 24.310-346, Brazil.
Pokaż więcej
Źródło :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Mar 20; Vol. 21 (6). Date of Electronic Publication: 2021 Mar 20.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Diagnosis, Computer-Assisted*
Neural Networks, Computer*
Tomography, X-Ray Computed*
COVID-19/*diagnosis
Humans
Czasopismo naukowe
Tytuł :
Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app.
Autorzy :
Sudre CH; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK. .; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London WC1E 7BH, UK.; Centre for Medical Image Computing, Department of Computer Science, University College London, London UK.
Lee KA; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Lochlainn MN; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Varsavsky T; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK.
Murray B; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK.
Graham MS; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK.
Menni C; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Modat M; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK.
Bowyer RCE; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Nguyen LH; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Drew DA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Joshi AD; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Ma W; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Guo CG; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Lo CH; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Ganesh S; Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
Buwe A; Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
Pujol JC; Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
du Cadet JL; Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
Visconti A; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Freidin MB; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
El-Sayed Moustafa JS; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Falchi M; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Davies R; Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
Gomez MF; Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden.
Fall T; Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden.
Cardoso MJ; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK.
Wolf J; Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
Franks PW; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.; Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden.
Chan AT; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA.
Spector TD; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Steves CJ; Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK.
Ourselin S; School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK. .
Pokaż więcej
Źródło :
Science advances [Sci Adv] 2021 Mar 19; Vol. 7 (12). Date of Electronic Publication: 2021 Mar 19 (Print Publication: 2021).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Diagnosis, Computer-Assisted*
Mobile Applications*
SARS-CoV-2*
COVID-19/*diagnosis
Adult ; Female ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Retrospective Studies ; Risk Factors
Czasopismo naukowe
Tytuł :
Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease.
Autorzy :
Chang CH; Institute of Clinical Medical Science, China Medical University, Taichung 40402, Taiwan.; Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung 40402, Taiwan.; An Nan Hospital, China Medical University, Tainan 709025, Taiwan.
Lin CH; Institute of Clinical Medical Science, China Medical University, Taichung 40402, Taiwan.; Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.; Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.; School of Medicine, Chang Gung University, Taoyuan 83301, Taiwan.
Lane HY; Institute of Clinical Medical Science, China Medical University, Taichung 40402, Taiwan.; Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung 40402, Taiwan.; Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.; Department of Psychology, College of Medical and Health Sciences, Asia University, Taichung 41354, Taiwan.
Pokaż więcej
Źródło :
International journal of molecular sciences [Int J Mol Sci] 2021 Mar 09; Vol. 22 (5). Date of Electronic Publication: 2021 Mar 09.
Typ publikacji :
Journal Article; Systematic Review
MeSH Terms :
Alzheimer Disease*/diagnosis
Alzheimer Disease*/metabolism
Diagnosis, Computer-Assisted*
Machine Learning*
Aged ; Biomarkers/metabolism ; Chromatography, High Pressure Liquid ; Female ; Humans ; Middle Aged
Czasopismo naukowe
Tytuł :
COVID-19 in early 2021: current status and looking forward.
Autorzy :
Wang C; Department of Respiratory and Critical Care Medicine, National Clinical Research Center for Geriatrics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China Medical School, Sichuan University, Chengdu, China.
Wang Z; Department of Respiratory and Critical Care Medicine, National Clinical Research Center for Geriatrics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China Medical School, Sichuan University, Chengdu, China.
Wang G; School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Lau JY; Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong, China. .
Zhang K; Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, and University Hospital, Macau, China. .
Li W; Department of Respiratory and Critical Care Medicine, National Clinical Research Center for Geriatrics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China Medical School, Sichuan University, Chengdu, China. .
Pokaż więcej
Źródło :
Signal transduction and targeted therapy [Signal Transduct Target Ther] 2021 Mar 08; Vol. 6 (1), pp. 114. Date of Electronic Publication: 2021 Mar 08.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms :
Artificial Intelligence*
COVID-19*/diagnosis
COVID-19*/epidemiology
COVID-19*/pathology
COVID-19*/therapy
Diagnosis, Computer-Assisted*
Pandemics*
SARS-CoV-2*
Humans
Czasopismo naukowe
Tytuł :
Efficient network selection for computer-aided cataract diagnosis under noisy environment.
Autorzy :
Pratap T; Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing, Kancheepuram, Chennai 600127, India.
Kokil P; Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing, Kancheepuram, Chennai 600127, India. Electronic address: .
Pokaż więcej
Źródło :
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2021 Mar; Vol. 200, pp. 105927. Date of Electronic Publication: 2021 Jan 09.
Typ publikacji :
Journal Article
MeSH Terms :
Cataract*/diagnosis
Diagnosis, Computer-Assisted*
Computers ; Fundus Oculi ; Humans ; Neural Networks, Computer
Czasopismo naukowe
Tytuł :
Timing for Safe Return to Sport after Medial Patellofemoral Ligament Reconstruction: The Role of a Functional Test Battery.
Autorzy :
Matassi F; University of Florence, Orthopaedic Clinic CTO, Florence, Italy.
Innocenti M; University of Florence, Orthopaedic Clinic CTO, Florence, Italy.
Andrea CL; University of Florence, Orthopaedic Clinic CTO, Florence, Italy.
Zanna L; University of Florence, Orthopaedic Clinic CTO, Florence, Italy.
Malone J; Department of Internal Medicine/Orthopaedics, Torshovsdalen Legesenter and Oslo Legevakt, Oslo, Norway.
Civinini R; University of Florence, Orthopaedic Clinic CTO, Florence, Italy.
Innocenti M; University of Florence, Orthopaedic Clinic CTO, Florence, Italy.
Pokaż więcej
Źródło :
The journal of knee surgery [J Knee Surg] 2021 Mar; Vol. 34 (4), pp. 363-371. Date of Electronic Publication: 2019 Sep 04.
Typ publikacji :
Journal Article
MeSH Terms :
Diagnosis, Computer-Assisted*
Return to Sport*
Exercise Test/*methods
Ligaments, Articular/*surgery
Patellofemoral Joint/*surgery
Adolescent ; Adult ; Female ; Follow-Up Studies ; Humans ; Male ; Patellar Dislocation/surgery ; Patellofemoral Joint/diagnostic imaging ; Radiography ; Young Adult
Czasopismo naukowe
Tytuł :
A Classification Method for the Cellular Images Based on Active Learning and Cross-Modal Transfer Learning.
Autorzy :
Vununu C; Department of IT Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.
Lee SH; Department of Computer Engineering, Dong-A University, Busan 49315, Korea.
Kwon KR; Department of IT Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.
Pokaż więcej
Źródło :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Feb 20; Vol. 21 (4). Date of Electronic Publication: 2021 Feb 20.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Diagnosis, Computer-Assisted*
Problem-Based Learning*
Epithelial Cells/*classification
Autoimmune Diseases/diagnosis ; Humans ; Neural Networks, Computer
Czasopismo naukowe
Tytuł :
A fully automated method for late ventricular diastole frame selection in post-dive echocardiography without ECG gating.
Autorzy :
Markley E; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, U.S.
Le DQ; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, U.S.
Germonpré P; Center for Hyperbaric Oxygen Therapy, Military Hospital Brussels, Belgium.; Environmental and Occupational (Integrative) Physiology Laboratory, Haute Ecole Bruxelles-Brabant (HE2B), Brussels, Belgium.
Balestra C; Environmental and Occupational (Integrative) Physiology Laboratory, Haute Ecole Bruxelles-Brabant (HE2B), Brussels, Belgium.; European Research Division, Divers Alert Network, Belgium.
Tillmans F; Divers Alert Network, Durham, North Carolina, U.S.
Denoble P; Divers Alert Network, Durham, North Carolina, U.S.
Freiberger JJ; Center for Hyperbaric Medicine and Environmental Physiology, Duke University, North Carolina, U.S.
Moon RE; Center for Hyperbaric Medicine and Environmental Physiology, Duke University, North Carolina, U.S.
Dayton PA; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, U.S.
Papadopoulou V; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, U.S.
Pokaż więcej
Źródło :
Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc [Undersea Hyperb Med] 2021 First Quarter; Vol. 48 (1), pp. 73-80.
Typ publikacji :
Journal Article
MeSH Terms :
Algorithms*
Diagnosis, Computer-Assisted/*methods
Diving/*physiology
Echocardiography/*methods
Embolism, Air/*diagnostic imaging
Ventricular Function/*physiology
Decompression Sickness/diagnostic imaging ; Diagnosis, Computer-Assisted/statistics & numerical data ; Diastole/physiology ; Echocardiography/statistics & numerical data ; Heart Ventricles/diagnostic imaging ; Humans ; Myocardial Contraction/physiology ; Sensitivity and Specificity
Czasopismo naukowe
Tytuł :
Automated Clinical Assessment of Corneal Guttae in Fuchs Endothelial Corneal Dystrophy.
Autorzy :
Soh YQ; Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore; Singapore National Eye Centre, Singapore; Ophthalmology Academic Clinical Program, Duke-NUS Graduate Medical School, Singapore.
Peh GSL; Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore; Ophthalmology Academic Clinical Program, Duke-NUS Graduate Medical School, Singapore.
Naso SL; Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore.
Kocaba V; Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore.
Mehta JS; Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore; Singapore National Eye Centre, Singapore; Ophthalmology Academic Clinical Program, Duke-NUS Graduate Medical School, Singapore; Department of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: .
Pokaż więcej
Źródło :
American journal of ophthalmology [Am J Ophthalmol] 2021 Jan; Vol. 221, pp. 260-272. Date of Electronic Publication: 2020 Jul 28.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Validation Study
MeSH Terms :
Diagnosis, Computer-Assisted*
Descemet Membrane/*pathology
Extracellular Matrix/*pathology
Fuchs' Endothelial Dystrophy/*diagnosis
Adult ; Aged ; Aged, 80 and over ; Algorithms ; Automation ; Descemet Stripping Endothelial Keratoplasty ; Female ; Fuchs' Endothelial Dystrophy/classification ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Photography ; Reproducibility of Results ; Visual Acuity
Czasopismo naukowe
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.
Pokaż więcej
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
Tytuł :
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
Autorzy :
Yamashita R; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Long J; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Longacre T; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Peng L; Department of Pathology, University of Texas, Southwestern Medical Center, Dallas, TX, USA.
Berry G; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Martin B; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Higgins J; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Rubin DL; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Shen J; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA. Electronic address: .
Pokaż więcej
Źródło :
The Lancet. Oncology [Lancet Oncol] 2021 Jan; Vol. 22 (1), pp. 132-141.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Validation Study
MeSH Terms :
Deep Learning*
Diagnosis, Computer-Assisted*
Image Interpretation, Computer-Assisted*
Microsatellite Instability*
Microscopy*
Colorectal Neoplasms/*diagnosis
Colorectal Neoplasms/genetics ; Colorectal Neoplasms/pathology ; Colorectal Neoplasms/surgery ; Coloring Agents ; Eosine Yellowish-(YS) ; Genetic Predisposition to Disease ; Hematoxylin ; Humans ; Phenotype ; Predictive Value of Tests ; Reproducibility of Results ; Staining and Labeling
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