STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation

STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation

Acquisition of high quality manual annotations is vital for the development of segmentation algorithms. However, to create them we require a substantial amount of expert time and knowledge. Large numbers of labels are required to train convolutional neural networks due to the vast number of paramete...

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Dettagli Bibliografici
Autori principali:	Dinsdale, NK, Jenkinson, M, Namburete, AIL
Natura:	Journal article
Lingua:	English
Pubblicazione:	Elsevier 2022

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