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    Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform
    R. Vijayarajeswari a, P. Parthasarathy b,⇑, S. Vivekanandan b, A. Alavudeen Basha b a Department of Computer Science Engineering, Mahendra Engineering College (Autonomous), Mallasamudram, Namakkal, India
    b School of Electrical Engineering, VIT University, India
    Article history:
    Support vector machine
    Hough transform
    Breast cancer 
    Breast cancer is one of the significant health problems in the world. If these abnormalities in breast can-cer are detected early there is a maximum chance for recovery. For this Veliparib early prediction we can go for mammography. It is one of the most effective and commonly used method for detecting and screening breast cancer. This paper presents classification of mammograms using feature extracted using Hough transform. Hough transform is a two dimensional transform. It is used to isolate feature of particular shape in an image. Miniaturized scale characterization and masses are the two most vital markers of threat, and their mechanized identification is exceptionally important for early breast cancer diagnosis. Since masses are regularly undefined from the encompassing parenchymal, computerized mass location and arrangement is significantly additionally difficult. This paper talks about the strategies for classifica-tion and feature extraction. Here, Hough transform is used to detect features of mammograms image and it is classified using SVM. The classification accuracy is more by the use of SVM classifier. This method is tested on 95 mammograms images collected and classified using SVM. From the result it shows that the proposed method is effectively classify the abnormal classes of mammograms.
    2019 Elsevier Ltd. All rights reserved.
    1. Introduction
    Tumor is a kind of malady and the principle attributes of breast cancer disease is the wild development of cells in a particular area of a body. This cell development is likewise refereed as tumor. Breast malignancy is shaped when disease creates from breast tis-sue [1]. It is one the significant medical issues in the present world. As indicated by the statics of world social insurance association in 1960’s and 1970’s a quick increment of breast cancer disease was enrolled in the episode rates in the few nations [2]. Early recogni-tion of tumor can expand the recuperation rate, all things consid-ered, and it can keep from kicking the bucket. Mammography can be utilized for early forecast, location and treatment of breast cancer. Mammography can without much of a stretch identify the tumor cells that are little and extremely hard to feel and it is the standout amongst the most widely recognized strategy used to dis-tinguish breast cancer. Breast imaging in the mammography is chiefly finished with the assistance of low-measurements X-beams with high goals and high differentiation [3–5]. It is addition-ally utilized for both screening and diagnosing breast disease. At times Full Field advanced mammography (FFDM) is utilized to stay