Web: http://arxiv.org/abs/2110.15811

Jan. 28, 2022, 2:10 a.m. | Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee

cs.CV updates on arXiv.org arxiv.org

Detecting out-of-distribution (OOD) samples in medical imaging plays an
important role for downstream medical diagnosis. However, existing OOD
detectors are demonstrated on natural images composed of inter-classes and have
difficulty generalizing to medical images. The key issue is the granularity of
OOD data in the medical domain, where intra-class OOD samples are predominant.
We focus on the generalizability of OOD detection for medical images and
propose a self-supervised Cascade Variational autoencoder-based Anomaly
Detector (CVAD). We use a variational autoencoders' cascade …


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