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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Veröffentlicht in:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Jg. 13434; S. 639
Hauptverfasser:	You, Chenyu, Zhao, Ruihan, Staib, Lawrence, Duncan, James S
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany 01.01.2022
Schlagworte:	Contrastive Learning Medical Image Segmentation Semi-Supervised Learning
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