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
ABSTRACT Objective Deep learning (DL) has become the prevailing method in chest radiograph analysis, yet its performance heavily depends on large quantities of annotated images. To mitigate the cost, cold‐start active learning (AL), comprising an initialization followed by subsequent learning, selec...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
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| Series: | Health Care Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hcs2.70009 |
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