GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI

Contrastive learning, as an unsupervised technique, is widely employed in image segmentation to enhance segmentation performance even when working with small labeled datasets. However, generating positive and negative data pairs for medical image segmentation poses a challenge due to the presence of...

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Veröffentlicht in:	International journal of imaging systems and technology 2024-03, Vol.34 (2), p.n/a
Hauptverfasser:	Zhao, Xin, Wang, Tongming, Chen, Jingsong, Jiang, Bingrun, Li, Haotian, Zhang, Nan, Yang, Guang, Chai, Senchun
Format:	Artikel
Sprache:	eng
Schlagworte:	Conditional random fields contrastive learning Datasets Image enhancement Image segmentation Learning Magnetic resonance imaging medical image segmentation Medical imaging relative position
Online-Zugang:	Volltext
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