Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study
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, whic...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-07-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2021/7/e27822 |