An improved contrastive learning network for semi-supervised multi-structure segmentation in echocardiography

An improved contrastive learning network for semi-supervised multi-structure segmentation in echocardiography

Cardiac diseases have high mortality rates and are a significant threat to human health. Echocardiography is a commonly used imaging technique to diagnose cardiac diseases because of its portability, non-invasiveness and low cost. Precise segmentation of basic cardiac structures is crucial for cardi...

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Bibliographic Details
Main Authors:	Ziyu Guo, Yuting Zhang, Zishan Qiu, Suyu Dong, Shan He, Huan Gao, Jinao Zhang, Yingtao Chen, Bingtao He, Zhe Kong, Zhaowen Qiu, Yan Li, Caijuan Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Cardiovascular Medicine
Subjects:	echocardiography deep learning semi-supervised learning images semantic segmentation contrastive learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fcvm.2023.1266260/full

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