Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study

BACKGROUND: The supervised deep learning approach provides state-of-the-art performance in a variety of fundus image classification tasks, but it is not applicable for screening tasks with numerous or unknown disease types. The unsupervised anomaly detection (AD) approach, which needs only normal sa...

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Detalles Bibliográficos
Autores principales: Han, Yong, Li, Weiming, Liu, Mengmeng, Wu, Zhiyuan, Zhang, Feng, Liu, Xiangtong, Tao, Lixin, Li, Xia, Guo, Xiuhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317033/
https://www.ncbi.nlm.nih.gov/pubmed/34255681
http://dx.doi.org/10.2196/27822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317033/
https://www.ncbi.nlm.nih.gov/pubmed/34255681
http://dx.doi.org/10.2196/27822

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