Benchmarking the Robustness of Deep Neural Networks to Common
Corruptions in Digital Pathology

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

30 June 2022

Yuxuan Sun

Papers citing "Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology"

4 / 4 papers shown

Title
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis Honglin Li Yunlong Zhang Pingyi Chen Zhongyi Shui Chenglu Zhu Lin Yang MedIm 29 4 0 18 Oct 2024
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis Honglin Li Yunlong Zhang Chenglu Zhu Jiatong Cai Sunyi Zheng Lin Yang VLM 17 4 0 21 Nov 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images C. Cui Yaohong Wang Shunxing Bao Yucheng Tang Ruining Deng ... Qi Liu Lori A. Coburn K. Wilson Bennett A. Landman Yuankai Huo OOD 20 0 0 03 Jul 2023
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 167 256 0 10 Nov 2021