"Abstract: Self-supervised Pre-training for Dealing with Small Datasets in ..."

Daniel Wolf et al. (2024)

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DOI: 10.1007/978-3-658-44037-4_46

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-26

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  dblp key:
  - conf/bildmed/WolfPLLBGR24
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  - https://dblp.org/rec/conf/bildmed/WolfPLLBGR24
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. Bildverarbeitung für die Medizin 2024: 157

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