A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images-Reference-Cited by-同舟云学术

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A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images

Published:2024-06 Issue:6 Volume:43 Page:2086-2097
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhou Chengfeng¹^ORCID,Wang Jun²^ORCID,Xiang Suncheng¹^ORCID,Liu Feng³,Huang Hefeng⁴,Qian Dahong¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. School of Computer and Computing Science, Hangzhou City University, Hangzhou, China

3. Deepwise AI Laboratory, Beijing, China

4. Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Deepwise Joint Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10547147/10399861.pdf?arnumber=10399861

Reference46 articles.

1. The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

2. Wilds: A benchmark of in-the-wild distribution shifts;Koh

3. Measuring robustness to natural distribution shifts in image classification;Taori

4. DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

5. Fedbn: Federated learning on non-IID features via local batch normalization;Li

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