A review of algorithms for medical image segmentation and their applications to the female pelvic cavity-Reference-Cited by-同舟云学术

A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

Published:2010-04 Issue:2 Volume:13 Page:235-246
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Ma Zhen,Tavares João Manuel R.S.,Jorge Renato Natal,Mascarenhas T.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10255840903131878

Reference81 articles.

1. Seeded region growing

2. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data

3. Paper presented at: MICCAI 2006. Proceeding of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention; Copenhagen, Denmark;Akselrod-Ballin A,2006

4. Neural network-based segmentation of magnetic resonance images of the brain

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