A Fully Automated Method for Segmentation and Thickness Map Estimation of Femoral and Acetabular Cartilages in 3D CT Images of the Hip-Reference-Cited by-同舟云学术

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A Fully Automated Method for Segmentation and Thickness Map Estimation of Femoral and Acetabular Cartilages in 3D CT Images of the Hip

Published:2007-09 Issue: Volume: Page:
ISSN:1845-5921
Container-title:2007 5th International Symposium on Image and Signal Processing and Analysis
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Author:

Baniasadipour Ayoub,Zoroofi Reza A.,Sato Yoshinobu,Nishii Takashi,Nakanishi Katsuyuki,Tanaka Hisashi,Sugano Nobuhiko,Yoshikawa Hideki,Nakamura Hironobu,Tamura Shinichi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4383644/4383645/04383670.pdf?arnumber=4383670

Cited by 4 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. Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT;Informatik aktuell;2020

2. Segmentation of joint and musculoskeletal tissue in the study of arthritis;Magnetic Resonance Materials in Physics, Biology and Medicine;2016-02-25

3. Automatic hip cartilage segmentation from 3D MR images using arc-weighted graph searching;Physics in Medicine and Biology;2014-11-10

4. Automated knowledge-based segmentation and analysis of the hip bones and cartilages using multi-slice CT data;The Imaging Science Journal;2011-10

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