AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge

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Veröffentlicht in:	IEEE Transactions on Medical Imaging Jg. 43; S. 542 - 557
Hauptverfasser:	Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader⋆, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Thái Hoàng Lê, Adrián Galdrán, Miguel Á. González Ballester, Gustavo Carneiro, R G Devika, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, S. Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunović, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sá‎nchez
Format:	Journal Article
Sprache:	Japanisch
Veröffentlicht:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2024
Schlagworte:	Age-Related Macular Degeneration Research Artificial intelligence Computer science Computer Science - Machine Learning Computer vision Detection and Management of Retinal Diseases Electrical Engineering and Systems Science - Image and Video Processing FOS: Computer and information sciences FOS: Electrical engineering, electronic engineering, information engineering Fundus (uterus) Glaucoma Global Prevalence and Treatment of Glaucoma Health Sciences Image Analysis Image and Video Processing (eess.IV) Machine learning Machine Learning (cs.LG) Medical Imaging - Radboud University Medical Center Medicine Ophthalmology Optical Coherence Tomography Angiography Pattern recognition (psychology) Primary Open-Angle Glaucoma Programming language Radboudumc 7: Neurodevelopmental disorders DCMN: Donders Center for Medical Neuroscience Radboudumc 9: Rare cancers Medical Imaging Radiology, Nuclear Medicine and Imaging Receiver operating characteristic Set (abstract data type)
ISSN:	0278-0062, 1558-254X
Online-Zugang:	Volltext
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ISSN:	0278-0062 1558-254X
DOI:	10.60692/k0b81-9m621