Article

Self-supervised Learning for Chest CT - Training Strategies and Effect on Downstream Applications

2024-02-05

Abstract excerpt

Self-supervised pretraining can reduce the amount of labeled training data needed by pre-learning fundamental visual characteristics of the medical imaging data. In this study, we investigate several self-supervised training strategies for chest computed tomography exams and their effects of downstream applications. we bench-mark five well-known self-supervision strategies (masked image region prediction, next sli...

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Literature Corpus work: e4414aa5-24a5-50d1-a29e-def48d26a453
DOI: 10.1101/2024.02.01.24302144

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