"Less is More: Selective reduction of CT data for self-supervised ..."

Daniel Wolf et al. (2024)

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DOI: 10.1016/J.COMPBIOMED.2024.109242

access: open

type: Journal Article

metadata version: 2024-12-09

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Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance. Comput. Biol. Medicine 183: 109242 (2024)

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