Active contour model of breast cancer DCE‐MRI segmentation with an extreme learning machine and a fuzzy C‐means cluster-Reference-Cited by-同舟云学术

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Active contour model of breast cancer DCE‐MRI segmentation with an extreme learning machine and a fuzzy C‐means cluster

Published:2022-06-15 Issue:11 Volume:16 Page:2947-2958
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Feng Bao¹²,Zhou Haoyang²,Feng Jin³,Chen Yehang²,Liu Yu²,Yu Tianyou⁴,Liu Zhuangsheng¹,Long Wansheng¹

Affiliation:

1. Department of Radiology Jiangmen Central Hospital Jiangmen Guangdong Province People's Republic of China

2. School of Electronic Information and Automation Guilin University of Aerospace Technology Guilin Guangxi Province People's Republic of China

3. Department of Student Financial Aid Management Center Guilin Normal College Guilin Guangxi Province People's Republic of China

4. School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong Province People's Republic of China

Funder

National Natural Science Foundation of China

Pearl River S and T Nova Program of Guangzhou

Natural Science Foundation of Guangxi Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12530

Reference42 articles.

1. Global Burden of Multiple Myeloma

2. Fasihi M.S. Mikhael W.B.:Overview of current biomedical image segmentation methods. In:2016 International Conference on Computational Science and Computational Intelligence (CSCI).Las Vegas NV pp.803–808(2016).https://doi.org/10.1109/CSCI.2016.0156

3. Snakes: Active contour models

4. Localizing Region-Based Active Contours

Cited by 2 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. Directionally weakened diffusion for image segmentation using active contours;Frontiers in Applied Mathematics and Statistics;2023-12-05

2. SaTransformer: Semantic‐aware transformer for breast cancer classification and segmentation;IET Image Processing;2023-08-07

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