Self-supervised learning for chest computed tomography: training strategies and effect on downstream applications
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Purpose: Self-supervised pre-training can reduce the amount of labeled training data needed by pre-learning fundamental visual characteristics of the medical imaging data. We investigate several self-supervised training strategie... ...
