10 citations · 13 across the 4 of their papers we have counts for
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cs.CV2023
ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features
Jingqi Niu, Qinji Yu, Shiwen Dong +3
Detecting anomalies in fundus images through unsupervised methods is a challenging task due to the similarity between normal and abnormal tissues, as well as their indistinct bound…
cs.CV2023★ 3 cited
Region and Spatial Aware Anomaly Detection for Fundus Images
Jingqi Niu, Shiwen Dong, Qinji Yu +2
Recently anomaly detection has drawn much attention in diagnosing ocular diseases. Most existing anomaly detection research in fundus images has relatively large anomaly scores in…