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"Self-supervised retinal thickness prediction enables deep learning from ..."

Olle G. Holmberg et al. (2020)

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DOI: 10.1038/S42256-020-00247-1

access: closed

type: Journal Article

metadata version: 2021-12-15

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  - journals/natmi/HolmbergKMSHKAS20
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  - https://dblp.org/rec/journals/natmi/HolmbergKMSHKAS20
Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis:
Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy. Nat. Mach. Intell. 2(11): 719-726 (2020)

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