"Dealing with Small Datasets for Deep Learning in Medical Imaging: An ..."

Daniel Wolf et al. (2023)

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DOI: 10.48550/ARXIV.2308.06534

access: open

type: Informal or Other Publication

metadata version: 2023-11-12

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  - journals/corr/abs-2308-06534
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  - https://dblp.org/rec/journals/corr/abs-2308-06534
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Timo Ropinski, Michael Götz:
Dealing with Small Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencoder Methods for Convolutional Models. CoRR abs/2308.06534 (2023)

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