Fully automatic lesion segmentation in breast MRI using mean-shift and graph-cuts on a region adjacency graph-Reference-Cited by-同舟云学术

Fully automatic lesion segmentation in breast MRI using mean-shift and graph-cuts on a region adjacency graph

Published:2013-12-02 Issue:4 Volume:39 Page:795-804
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

McClymont Darryl¹,Mehnert Andrew²³,Trakic Adnan¹,Kennedy Dominic⁴,Crozier Stuart¹

Affiliation:

1. School of ITEE; The University of Queensland; St Lucia Queensland Australia

2. Department of Signals and Systems; Chalmers University of Technology; Gothenburg Sweden

3. MedTech West; Sahlgrenska University Hospital; Gothenburg Sweden

4. Queensland X-Ray; Greenslopes Private Hospital; Greenslopes Queensland Australia

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jmri.24229/fullpdf

Reference28 articles.

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3. Recent advances in breast MRI and MRS;Sinha;NMR Biomed,2009

4. Performance of a fully automatic lesion detection system for breast DCE-MRI;Vignati;J Magn Reson Imaging,2011

5. Breast MR segmentation and lesion detection with cellular neural networks and 3D template matching;Ertas;Comput Biol Med,2008

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