Web: http://arxiv.org/abs/2201.11506

Jan. 28, 2022, 2:10 a.m. | Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge

cs.CV updates on arXiv.org arxiv.org

Convolutional Neural Network models have successfully detected retinal
illness from optical coherence tomography (OCT) and fundus images. These CNN
models frequently rely on vast amounts of labeled data for training, difficult
to obtain, especially for rare diseases. Furthermore, a deep learning system
trained on a data set with only one or a few diseases cannot detect other
diseases, limiting the system's practical use in disease identification. We
have introduced an unsupervised approach for detecting anomalies in retinal
images to overcome …

anomaly detection arxiv coding cv deep detection images scale

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