Lesion Detection from the Ultrasound Images Using K-Means Algorithm

It is well known that, early diagnosis is also very important for cancer patients. One of the imaging techniques used in the diagnosis of breast cancer is ultrasonography. In this study, a system that helps the doctor to detect the lesion in the breast has been suggested. We used K-Means clustering algorithm to detect the lesion in the images. The effects of three different filters (Median, Laplace, Sobel) have been examined in the study. Also, different partitioning effects are considered. According to the accuracy rates we obtained, it was concluded that the accuracy increased as the number of partitions increased. In addition, the Median filter was the best filter compared to other filters.