Breast cancer detection on thermogram at preliminary stage by using fuzzy inferences system

Journal article

Authors / Editors

Ravi, Samikannu

Research Areas

ENGINEERING AND TECHNOLOGY (Frascati classification)

Publication Details

Subtitle: Breast cancer detection on thermogram at preliminary stage by using fuzzy inferences system

Author list: Ravi, Samikannu

Publisher: SETScholars

Publication year: 2014

Volume number: 68

Issue number: 3

Start page: 381

End page: 391

Number of pages: 11

ISSN: 1839-8480

eISSN: 1839-8480

URL: https://biust.pure.elsevier.com/en/publications/breast-cancer-detection-on-thermogram-at-preliminary-stage-by-usi

Languages: English-United States (EN-US)

Abstract

Thermogram is considered as one of the most effective methods for early detection of breast cancers.However, it is difficult for radiologists to detect Microcalcification clusters. Therefore a computerized scheme for detecting early-stage Microcalcification clusters in mammograms is proposed. Optimal set of features are selected by Genetic algorithm which are fed as input to Adaptive Neuro fuzzy inference system for classifying image into normal, suspect and abnormal categories. This method has been evaluated on 322 images comprising normal and abnormal images. The performance of the proposed technique is analyzed in terms convergence time. The results shows that the features used are clinically significant for the accurate detection of breast tumor.

Keywords

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