Detection of masses in mammographic breast cancer images using modified histogram based adaptive thresholding (MHAT) method Online publication date: Mon, 14-Jan-2019
by Bhagwati Charan Patel; G.R. Sinha; Dilip Soni
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 29, No. 2, 2019
Abstract: Breast cancer is the leading type of cancer diagnosed in women nowadays and for breast screening, mammography is preferred to detect and diagnose the cancer by detecting the masses with the help of Computer-aided Diagnosis (CAD) system. It helps to assist radiologists in getting accurate diagnosis. An approach is proposed to effectively detect the masses in mammographic breast cancer images by using Modified Histogram based adaptive thresholding (MHAT) method. The algorithm has been tested over with 100 mammographic images and the experimental results show that the detection method has a sensitivity of 98.3% at 0.78 false positives with accuracy of 99% per image. We evaluated the performance of our MHAT algorithm by comparing with respect to the ground-truth boundary drawn by an expert radiologist. The results are clinically relevant, according to the radiologists who evaluated the results.
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