Level set framework of multi-atlas label fusion with applications to magnetic resonance imaging segmentation of brain region of interests and cardiac left ventricles-Reference-Cited by-同舟云学术

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Level set framework of multi-atlas label fusion with applications to magnetic resonance imaging segmentation of brain region of interests and cardiac left ventricles

Published:2017 Issue:2 Volume:3 Page:76
ISSN:2226-8561
Container-title:Digital Medicine
language:en
Short-container-title:Digit Med

Author:

Li Chunming,Gong Zhaoxuan,Lu Zhentai,Zhao Dazhe,Wang Shuai,Liu Yu,Song Yihua,Xuan Kai,Tan Wenjun

Publisher

Medknow

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Subcortical brain segmentation with convolutional neural networks;Fourteenth International Conference on Digital Image Processing (ICDIP 2022);2022-10-12

2. Active contour model based on local intensity fitting and atlas correcting information for medical image segmentation;Multimedia Tools and Applications;2021-05-04

3. Automatic hippocampus segmentation based on convolutional neural networks and level set model;The Fourth International Symposium on Image Computing and Digital Medicine;2020-12-05

4. Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images;Pattern Recognition;2019-06

5. A fast level set model of multi‐atlas labels fusion for 3D MRI tissues segmentation with application of split Bregman method;Mathematical Methods in the Applied Sciences;2018-12-11

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