Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset-Reference-Cited by-同舟云学术

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Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset

Published:2020-10 Issue: Volume:125 Page:104019
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Bui Vy,Hsu Li-Yueh,Shanbhag Sujata M.,Tran Loc,Bandettini W. Patricia,Chang Lin-Ching,Chen Marcus Y.

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference26 articles.

1. Simultaneous multi-structure segmentation of the heart and peripheral tissues in contrast enhanced cardiac computed tomography angiography;Bui;IEEE Access,2020

2. Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge;Zhuang;Med. Image Anal.,2019

3. “Hybrid loss guided convolutional networks for whole heart parsing;Yang,2017

4. “Multi-label whole heart segmentation using CNNs and anatomical label configurations;Payer,2017

5. Multi-depth fusion network for whole-heart CT image segmentation;Ye;IEEE Access,2019

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