Hybrid methods for feature extraction for breast masses classification

This paper is focusing on feature extraction methods for malignant masses in mammograms and its classification. It proposes seven texture features for GLCM method and to be applied on sub-images to enhance its performance. It also proposes three hybrid methods named Wavelet-CT1, Wavelet-CT2 and ST-G...

Full description

Bibliographic Details
Main Author: Mohamed A. Berbar
Format: Article
Language:English
Published: Elsevier 2018-03-01
Series:Egyptian Informatics Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866517302785