DocumentCode :
186246
Title :
Mass segmentation in mammograms based on the minimisation of energy and active contour model
Author :
El Fahssi, Khalid ; Elmoufidi, Abdelali ; Abenaou, Abdenbi ; Jai-Andaloussi, Said ; Sekkaki, Abderrahim
Author_Institution :
LIAD Labs., Casablanca, Morocco
fYear :
2014
fDate :
11-12 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
Breast mass segmentation in mammography plays a crucial role in Computer-Aided Diagnosis (CAD) systems. We propose in this work a method for the segmentation of mammography images by using a combination of two approaches: one based on levels set theory and the other based on the principle of the minimization of the energy of active contours. The elaborated algorithm which is an interactive approach permits to segment effectively the images from its coarse resolution to its refinement. The proposed method is tested on (MIAS) database and the obtained results demonstrate the efficacy of the proposed approach.
Keywords :
image segmentation; mammography; medical image processing; physiological models; CAD; active contour model; breast mass segmentation; computer-aided diagnosis systems; mammograms; Breast cancer; Databases; Image segmentation; Level set; Minimization; active contours; levels set; mammography segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
Type :
conf
DOI :
10.1109/MeMeA.2014.6860106
Filename :
6860106
Link To Document :
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