APPLICATION OF FIREFLY ALGORITHM IN BREAST CANCER DETECTİON IN MAMMOGRAPHIC IMAGES

Abstract

Breast cancer is one of the most common cancers in women. In many cases, there are no obvious symptoms in patients with it. Accurate diagnosis of this type of cancer in the early stages is essential to reduce mortality. Mammography is a standard method used to diagnose breast diseases. To prevent mental analysis of mammographic images by radiologists and increase the accuracy of breast cancer detection, artificial intelligence systems have received much attention in recent years. In this paper, a method based on combining firefly algorithm and applying appropriate pre-processing on the image to detect breast cancer in mammographic images is presented. To do this, mammographic images in the mammography screening (DDSM) digital data set are used. Three performance criteria of accuracy, sensitivity and precision (93.4%, 91%, 95%) indicate the proper performance of the proposed method compared to existing studies. This work shows better performance when compared to existing work in literature.