A fuzzy computer aided diagnosis system using breast thermography

Author

Calderon-Contreras, Jorge D. ; Chacon-Murguia, Mario I. ; Villalobos-Montiel, Adrian J. ; Ortega-Maynez, Leticia

Author_Institution

Visual Perception Applic. on Robot. Lab., Chihuahua Inst. of Technol., Chihuahua, Mexico

fYear

2015

fDate

16-19 April 2015

Firstpage

105

Lastpage

108

Abstract

In this article, a novel model of computer aided diagnosis (CAD) system through breast thermography is proposed with the purpose of diagnosing breast cancer. There are two main factors that were considered in our system: the data base for the design and the type of inputs used for the classifiers. The suggested model is based on a fuzzy classifier using statistical features. The results of the CAD system were compared to the pathological state of the patients´ tissues, and showed satisfactory results allowing distinction between cancerous and healthy tissues, with a sensitivity of 82.35% and a specificity of 92.15%.

Keywords

biological organs; biological tissues; biomedical optical imaging; cancer; feature extraction; fuzzy set theory; image classification; infrared imaging; medical image processing; statistical analysis; CAD system; breast cancer diagnosis; breast thermography; cancerous tissues; computer aided diagnosis system; fuzzy classifier; fuzzy computer; healthy tissues; statistical features; Breast cancer; Design automation; Feature extraction; Pathology; Solid modeling; Breast; Computer-aided detection and diagnosis (CAD); Image segmentation; Thermal imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on

Conference_Location

New York, NY

Type

conf

DOI

10.1109/ISBI.2015.7163827

Filename

7163827