Title
An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images.
Abstract
According to the World Health Organization, breast cancer is the most common cancer in women worldwide, becoming one of the most fatal types of cancer. Mammography image analysis is still the most effective imaging technology for breast cancer diagnosis, which is based on texture and shape analysis of mammary lesions. The GrowCut algorithm is a general-purpose segmentation method based on cellular automata, able to perform relatively accurate segmentation through the adequate selection of internal and external seed points. In this work we propose an adaptive semi-supervised version of the Grow Cut algorithm, based on the modification of the automaton evolution rule by adding a Gaussian fuzzy membership function in order to model non-defined borders. In our proposal, manual selection of seed points of the suspicious lesion is changed by a semiautomatic stage, where just the internal points are selected by using a differential evolution algorithm. We evaluated our proposal using 57 lesion images obtained from MiniMIAS database. Results were compared with the semi-supervised state-of-the-art approaches BEMD, BMCS, Wavelet Analysis, LBI, Topographic Approach and MCW. Results show that our method achieves better results for circumscribed, spiculated lesions and ill-defined lesions, considering the similarity between segmentation results and ground-truth images. (C) 2015 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2016
10.1016/j.asoc.2015.11.040
Applied Soft Computing
Keywords
Field
DocType
Breast cancer,Mass detection,Mammography image analysis,Biomedical image segmentation,GrowCut algorithm
Mammography,Computer vision,Cellular automaton,Imaging technology,Segmentation,GrowCut algorithm,Fuzzy logic,Artificial intelligence,Mathematics,Machine learning,Wavelet,Shape analysis (digital geometry)
Journal
Volume
ISSN
Citations 
46
1568-4946
4
PageRank 
References 
Authors
0.38
22
3
Name
Order
Citations
PageRank
F. R. Cordeiro1467.14
Wellington P. dos Santos23611.00
Abel Guilhermino Silva-Filho36212.94