ETH Zurich's MVMAE Beats Larger X-ray Models Using 10x Fewer Labels
A self-supervised method treats multiple X-ray projections of the same patient as paired data, beating supervised and vision-language baselines on three datasets.
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AlphaSignal
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AlphaSignal Newsroom
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A self-supervised method treats multiple X-ray projections of the same patient as paired data, beating supervised and vision-language baselines on three datasets.
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