Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification:A Comparative Study Against ImageNet Counterparts in Cold-Start Active LearningOA
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
Duke-NUS Medical School,Centre for Quantitative Medicine,Singapore,SingaporeDuke-NUS Medical School,Centre for Quantitative Medicine,Singapore,SingaporeDepartment of Engineering Science,University of Oxford,Oxford,UKDuke-NUS Medical School,Centre for Quantitative Medicine,Singapore,SingaporeDepartment of Computer Science,Vanderbilt University,Nashville,Tennessee,USAInformation Technology Center,University of Tokyo,Bunkyo-ku,Japan
chest radiograph analysiscold-start active learningCOVID-19psychiatric pneumoniaradiology foundation model
chest radiograph analysiscold-start active learningCOVID-19psychiatric pneumoniaradiology foundation model
《科学医疗（英文）》 2025 (2)
110-143,34
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