MedIAnomaly: A comparative study of anomaly detection in medical images

arXiv:2404.04518v1 Announce Type: new
Abstract: Anomaly detection (AD) aims at detecting abnormal samples that deviate from the expected normal patterns. Generally, it can be trained on merely normal data without the requirement for abnormal samples, and thereby plays an important role in the recognition of rare diseases and health screening in the medical domain. Despite numerous related studies, we observe a lack of a fair and comprehensive evaluation, which causes some ambiguous conclusions and hinders the development of this field. …

anomaly anomaly detection arxiv cs.cv detection images medical study type