RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.

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Title: RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.
Authors: Pachade S; Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded 431606, India. Electronic address: 2017pec601@sggs.ac.in., Porwal P; Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded 431606, India., Kokare M; Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded 431606, India., Deshmukh G; Eye Clinic, Sushrusha Hospital, Nanded 431601, India., Sahasrabuddhe V; Department of Ophthalmology, Shankarrao Chavan Government Medical College, Nanded 431606, India., Luo Z; Graduate School of Information Production and Systems, Waseda University, Japan., Han F; University of Shanghai for Science and Technology, Shanghai, China., Sun Z; Graduate School of Information Production and Systems, Waseda University, Japan., Qihan L; Graduate School of Information Production and Systems, Waseda University, Japan., Kamata SI; Graduate School of Information Production and Systems, Waseda University, Japan., Ho E; Schulich Applied Computing in Medicine, University of Western Ontario, Schulich School of Medicine and Dentistry, Canada., Wang E; Schulich Applied Computing in Medicine, University of Western Ontario, Schulich School of Medicine and Dentistry, Canada., Sivajohan A; Schulich Applied Computing in Medicine, University of Western Ontario, Schulich School of Medicine and Dentistry, Canada., Youn S; Schulich Applied Computing in Medicine, University of Western Ontario, Schulich School of Medicine and Dentistry, Canada., Lane K; Schulich Applied Computing in Medicine, University of Western Ontario, Schulich School of Medicine and Dentistry, Canada., Chun J; Schulich Applied Computing in Medicine, University of Western Ontario, Schulich School of Medicine and Dentistry, Canada., Wang X; Beihang University School of Computer Science, China., Gu Y; Beihang University School of Computer Science, China., Lu S; Beijing Normal University School of Artificial Intelligence, China., Oh YT; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Park H; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Lee CY; Department of Electrical Engineering, National United University, Miaoli 360001, Taiwan, ROC., Yeh H; Department of Electrical Engineering, National United University, Miaoli 360001, Taiwan, ROC; Institute of Biomedical Engineering, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu, Taiwan, ROC., Cheng KW; Department of Electrical Engineering, National United University, Miaoli 360001, Taiwan, ROC., Wang H; School of Biomedical Engineering, the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China., Ye J; ShenZhen Key Lab of Computer Vision and Pattern Recognition, Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., He J; School of Biomedical Engineering, the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China; ShenZhen Key Lab of Computer Vision and Pattern Recognition, Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., Gu L; School of Biomedical Engineering, the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China., Müller D; IT-Infrastructure for Translational Medical Research, University of Augsburg, Germany; Medical Data Integration Center, University Hospital Augsburg, Germany., Soto-Rey I; IT-Infrastructure for Translational Medical Research, University of Augsburg, Germany; Medical Data Integration Center, University Hospital Augsburg, Germany., Kramer F; IT-Infrastructure for Translational Medical Research, University of Augsburg, Germany., Arai H; NABLAS Inc, Japan., Ochi Y; National Institute of Technology, Kisarazu College, Japan., Okada T; Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan., Giancardo L; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA., Quellec G; Inserm, UMR 1101, F-29200 Brest, France., Mériaudeau F; ImViA EA 7535/ IFTIM, Université de Bourgogne, 21078 Dijon, France.
Source: Medical image analysis [Med Image Anal] 2025 Jan; Vol. 99, pp. 103365. Date of Electronic Publication: 2024 Oct 09.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2024.103365