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...

Bibliografiset tiedot
Päätekijät:	Dinsdale, NK, Jenkinson, M, Namburete, AIL
Aineistotyyppi:	Journal article
Kieli:	English
Julkaistu:	Elsevier 2022

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