ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network

no code implementations • 16 Dec 2021 • Raunak Dey, Wenbo Sun, Haibo Xu, Yi Hong

In this paper we consider the problem of unsupervised anomaly segmentation in medical images, which has attracted increasing attention in recent years due to the expensive pixel-level annotations from experts and the existence of a large amount of unannotated normal and abnormal image scans.

Brain Tumor Segmentation Lesion Segmentation +3