Абстрактный

Tumour extraction from breast mammographs through hough transform and DNN hybrid segmentation technique

Rekha Chakravarthi, NM Nandhitha, S Emalda Roslin, N Selvarasu

Digital mammography is the most widely used diagnostic technique for detecting breast cancer. Major challenge lies in developing an efficient image segmentation technique to extract the tumour to its original size and to remove the undesirable regions completely. In this paper, a hybrid image segmentation technique by combining ability of Hough transform to isolate the objects of known size and neural networks to fine tune the segmented region is proposed. A set of 40 images (both benign and malignant) are used in the work. Accuracy of the proposed segmentation technique is validated with the true size of the tumour.