Automatic Knee Cartilage Segmentation Using Multi-Feature Support Vector Machine and Elastic Region Growing for Magnetic Resonance Images-Reference-Cited by-同舟云学术

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Automatic Knee Cartilage Segmentation Using Multi-Feature Support Vector Machine and Elastic Region Growing for Magnetic Resonance Images

Published:2016-08-01 Issue:4 Volume:6 Page:948-956
ISSN:2156-7018
Container-title:Journal of Medical Imaging and Health Informatics
language:en
Short-container-title:J Med Imaging Hlth Inform

Author:

Wang Pin,He Xuan,Li Yongming,Zhu Xueru,Chen Wei,Qiu Mingguo

Publisher

American Scientific Publishers

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging

Cited by 5 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. Computer-aided knee joint MR image segmentation—An overview;Computational Intelligence in Healthcare Applications;2022

2. Architecture of Multiple Convolutional Neural Networks to Construct a Subject-Specific Knee Model for Estimating Local Specific Absorption Rate;Applied Magnetic Resonance;2020-11-18

3. pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage;PLOS ONE;2020-01-24

4. Unifying the seeds auto-generation (SAGE) with knee cartilage segmentation framework: data from the osteoarthritis initiative;International Journal of Computer Assisted Radiology and Surgery;2019-03-11

5. pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage;2019-02-21

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