Feasibility of Universal Anomaly Detection without Knowing the
Abnormality in Medical Images

Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images

3 July 2023

Ruining Deng

Lucas W. Remedios

Joseph T. Roland

Qi Liu

Bennett A. Landman

Yuankai Huo

Papers citing "Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images"

2 / 2 papers shown

Title
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology Yunlong Zhang Yuxuan Sun Honglin Li S. Zheng Chenglu Zhu L. Yang OOD 54 27 0 30 Jun 2022
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 102 164 0 28 Apr 2021