Title :
A review of breast density classification methods
Author :
Kumar, Indrajeet ; Virmani, Jitendra ; Bhadauria, H.S.
Author_Institution :
GBPEC, Pauri, India
Abstract :
Breast cancer is the most common life-threatening disease found in women in the developed countries. The risk factor of breast cancer is related to breast density, which is estimated with the help of mammography. Breast density can be evaluated by qualitative as well as quantitative methods. Few CAD systems have been designed for the automated classification of breast density. These CAD system designs have either used the segmented breast tissue or a predefined ROI; therefore these CAD designs can be broadly classified as Segmentation-based approaches or ROI-based approaches as described in this article. After that the BI-RADS classification is performed based on the extracted texture features.
Keywords :
biomedical MRI; cancer; image classification; image segmentation; mammography; medical image processing; CAD system; MRI; ROI-based approach; breast cancer; breast density classification method; computer-aided diagnostic; magnetic resonance imaging; mammography; region of interest; risk factor; segmentation-based approach; Breast; Erbium; Films; Training; Yttrium; Breast cancer; Breast density; Classification; Feature extraction; Feature selection; Mammograms;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1