A breast tumors segmentation and elimination of pectoral muscle based on hidden markov and region growing-Reference-Cited by-同舟云学术

A breast tumors segmentation and elimination of pectoral muscle based on hidden markov and region growing

Published:2018-06-06 Issue:23 Volume:77 Page:31347-31362
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

El Idrissi El Kaitouni Soukaina,Abbad Abdelghafour,Tairi Hamid

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-6089-z/fulltext.html

Reference36 articles.

1. Agrawal P, Vatsa M, Singh R (2014) Saliency based mass detection from screening mammograms. Signal Process 99:29–47

2. Alayli RM, El-Zaar AY (2013) An iterative mammographic image thresholding algorithm for breast cancer detection. ACIT'2013

3. Aschwanden P, Guggenbuhl W (1992) Experimental results from a comparative study on correlation-type registration algorithms. Robust Computer Vision, 268–289

4. Bon AT (2009) Developing K-Means Clustering on Beltline Moulding Contours. J Appl Sci Res 5(5):2189–2193

5. Boss R, Thangavel K, Daniel D (2013) Automatic mammogram image breast region extraction and removal of pectoral muscle. arXiv preprint arXiv:1307.7474

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