IMCAD: Computer Aided System for Breast Masses Detection based on Immune Recognition

TitleIMCAD: Computer Aided System for Breast Masses Detection based on Immune Recognition
Publication TypeJournal Article
Year of PublicationIn Press
AuthorsBelkhodja, L., and H. Djamila
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
IssueIn Press
VolumeIn Press
NumberIn Press
Date Published12/2018

Computer Aided Detection (CAD) systems are very important tools which help radiologists as a second reader in detecting early breast cancer in an efficient way, specially on screening mammograms. One of the challenging problems is the detection of masses, which are powerful signs of cancer, because of their poor apperance on mammograms. This paper investigates an automatic CAD for detection of breast masses in screening mammograms based on fuzzy segmentation and a bio-inspired method for pattern recognition: Artificial Immune Recognition System. The proposed approach is applied to real clinical images from the full field digital mammographic database: Inbreast. In order to validate our proposition, we propose the Receiver Operating Characteristic Curve as an analyzer of our IMCAD classifier system, which achieves a good area under curve, with a sensitivity of 100% and a specificity of 95%. The recognition system based on artificial immunity has shown its efficiency on recognizing masses from a very restricted set of training regions.

KeywordsBreast Cancer, Computer Aided Detection, Feature Selection, Fuzzy Segmentation, Immune Recognition, Mammogram
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