Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation-Reference-Cited by-同舟云学术

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Published:2020-10 Issue: Volume:65 Page:101766
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Xia Yingda^ORCID,Yang Dong,Yu Zhiding,Liu Fengze,Cai Jinzheng,Yu Lequan^ORCID,Zhu Zhuotun,Xu Daguang^ORCID,Yuille Alan,Roth Holger^ORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference72 articles.

1. Learning with pseudo-ensembles;Bachman,2014

2. Semi-supervised learning for network-based cardiac mr image segmentation;Bai,2017

3. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006

4. A framework for spatiotemporal control in the tracking of visual contours;Blake;Int. J. Comput. Vis.,1993

5. Combining labeled and unlabeled data with co-training;Blum,1998

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