首页|期刊导航|Health Care Science|Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification:A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning

Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification:A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning

Han Yuan Mingcheng Zhu Rui Yang Han Liu Irene Li Chuan Hong

Health Care Science2025，Vol.4Issue(2)：P.110-143,34.

Health Care Science2025，Vol.4Issue(2)：P.110-143,34.DOI:10.1002/hcs2.70009

Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification:A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning

Han Yuan ¹Mingcheng Zhu ²Rui Yang ¹Han Liu ³Irene Li ⁴Chuan Hong⁵

作者信息

1. Duke-NUS Medical School,Centre for Quantitative Medicine,Singapore,Singapore
2. Duke-NUS Medical School,Centre for Quantitative Medicine,Singapore,Singapore Department of Engineering Science,University of Oxford,Oxford,UK
3. Department of Computer Science,Vanderbilt University,Nashville,Tennessee,USA
4. Information Technology Center,University of Tokyo,Bunkyo‐ku,Japan
5. Department of Biostatistics and Bioinformatics,Duke University,Durham,North Carolina,USA
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摘要

关键词

chest radiograph analysis/cold-start active learning/COVID-19/psychiatric pneumonia/radiology foundation model

分类

医药卫生

引用本文复制引用

Han Yuan,Mingcheng Zhu,Rui Yang,Han Liu,Irene Li,Chuan Hong..Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification:A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning[J].Health Care Science,2025,4(2):P.110-143,34.

Health Care Science

ISSN：2771-1749

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