Self-supervised Learning for Anomaly Detection in Fundus Image

Sang-il Ahn, Jitae Shin. Self-supervised Learning for Anomaly Detection in Fundus Image. In Bhavna J. Antony, Huazhu Fu, Cecilia S. Lee, Tom J. MacGillivray, Yanwu Xu 0001, Yalin Zheng, editors, Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13576 of Lecture Notes in Computer Science, pages 143-151, Springer, 2022. [doi]

Abstract

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