Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis

Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis

Breast cancer is an important global health problem, and the most common type of cancer among women. Late diagnosis significantly decreases the survival rate of the patient; however, using mammography for early detection has been demonstrated to be a very important tool increasing the survival rate....

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Bibliographic Details
Main Authors: Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Idalia Garza-Veloz, Margarita L. Martinez-Fierro
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Diagnostics
Subjects:
breast cancer
mammography image features
mammography descriptors
CAD
multivariate model
genetic algorithm
machine learning algorithms
Online Access:http://www.mdpi.com/2075-4418/7/1/9

Internet

http://www.mdpi.com/2075-4418/7/1/9

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