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Self-Supervised Pretraining Enables High-Performance Chest X-Ray Interpretation Across Clinical Distributions

2022-11-25

Abstract excerpt

Chest X-rays (CXRs) are a rich source of information for physicians – essential for disease diagnosis and treatment selection. Recent deep learning models aim to alleviate strain on medical resources and improve patient care by automating the detection of diseases from CXRs. However, shortages of labeled CXRs can pose a serious challenge when training models. Currently, models are generally pretrained on ImageNet,...

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Literature Corpus work
ac7cc08a-ef2a-5ae1-bd90-30e4c9e48e04
DOI
10.1101/2022.11.19.22282519
Open publication

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Self-Supervised Pretraining Enables High-Performance Chest X-Ray Interpretation Across Clinical DistributionsDOI 10.1101/2022.11.19.22282519
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