Automated Superpixel-borders-guided Deformation Image Registration for Adaptive Radiotherapy-Reference-Cited by-同舟云学术

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Automated Superpixel-borders-guided Deformation Image Registration for Adaptive Radiotherapy

Published:2020-10-18 Issue: Volume: Page:1-11
ISSN:0256-4602
Container-title:IETE Technical Review
language:en
Short-container-title:IETE Technical Review

Author:

Zhang Li¹,Li Bin¹,Tian Lian-Fang¹,Li Xiang-Xia¹,Zhang Ming-Sheng²,Liu Shuang-Chun²

Affiliation:

1. School of Automation Science and Engineering, South China University of Technology, Guangzhou, People’s Republic of China

2. Department of Rehabilitation, Guangdong General Hospital, Guangdong Academy of Medical Science, Guangdong Provincial Institute of Geriatrics, Guangzhou, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02564602.2020.1831413

Reference36 articles.

1. Visualization of Deformable Image Registration Quality Using Local Image Dissimilarity

2. Performance of a Computer-Aided Program for Automated Matching of Metastatic Pulmonary Nodules Detected on Follow-Up Chest CT

3. Detection of Time-Varying Structures by Large Deformation Diffeomorphic Metric Mapping to Aid Reading of High-Resolution CT Images of the Lung

4. LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm

Cited by 1 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. A Technical Analysis of Digital Image and Video Processing;IETE Technical Review;2023-10-02

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