Distributed contrastive learning for medical image segmentation

Supervised deep learning needs a large amount of labeled data to achieve high performance. However, in medical imaging analysis, each site may only have a limited amount of data and labels, which makes learning ineffective. Federated learning (FL) can learn a shared model from decentralized data. Bu...

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Veröffentlicht in:	Medical image analysis 2022-10, Vol.81, p.102564-102564, Article 102564
Hauptverfasser:	Wu, Yawen, Zeng, Dewen, Wang, Zhepeng, Shi, Yiyu, Hu, Jingtong
Format:	Artikel
Sprache:	eng
Schlagworte:	Contrastive learning Federated learning Image segmentation Self-supervised learning
Online-Zugang:	Volltext
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