Multi-scale structured CNN with label consistency for brain MR image segmentation-Reference-Cited by-同舟云学术

Multi-scale structured CNN with label consistency for brain MR image segmentation

Published:2016-06-22 Issue:1 Volume:6 Page:113-117
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Bao Siqi¹,Chung Albert C. S.¹

Affiliation:

1. Lo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, .

Funder

Research Grants Council of Hong Kong

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2016.1182072

Reference14 articles.

1. Multi-atlas segmentation with augmented features for cardiac MR images

2. Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation

3. Learning Hierarchical Features for Scene Labeling

4. Random Walks for Image Segmentation

5. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

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