Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Contrastive learning (CL) aims to learn useful representation without relying on expert annotations in the context of medical image segmentation. Existing approaches mainly contrast a single positive vector ( , an augmentation of the same image) against a set of negatives within the entire remainder...

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Vydané v:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Ročník 13434; s. 639
Hlavní autori:	You, Chenyu, Zhao, Ruihan, Staib, Lawrence, Duncan, James S
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany 01.01.2022
Predmet:	Contrastive Learning Medical Image Segmentation Semi-Supervised Learning
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