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

• 主要な著者: Yong Han (著者), Weiming Li (著者), Mengmeng Liu (著者), Zhiyuan Wu (著者), Feng Zhang (著者), Xiangtong Liu (著者), Lixin Tao (著者), Xia Li (著者), Xiuhua Guo (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2021-07-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundThe 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 samp...