Virtual Instrumentation Based Breast Cancer Detection and Classification Using Image-Processing

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International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue IV, April 2018 | ISSN 2321–2705

Virtual Instrumentation Based Breast Cancer Detection and Classification Using Image-Processing

Bhagyashri K Yadav1, Dr. Prof. M. S. Panse2

IJRISS Call for paper

1Student, M Tech Electronics, 2Professor
1, 2Department of Electrical Engineering, Veermata Jijabai Technological Institute, Mumbai, India

Abstract: Breast cancer is an important cause of death in woman. An initial symbol of breast cancer is multiplication of malignant cells in the mammogram. The projected method has been applied in five stages consisting of image preprocessing, extraction of ROI, feature extraction, normalization and classification. In this procedure, we can count the number of defected cells and find their location with image processing. To classify the cancerous region the SVM (SUPPORT VECTOR MACHINE) based classifier technique is used in this paper. The projected method has been estimated with MINI MAMMOGRAM IMAGE ANALYSIS SOCIETY (MIAS) database and validated with 200 images of MIAS database.

Keywords: Breast Cancer, Mammography, Feature extraction, Support vector machine, Region of Interest

I. INTRODUCTION

Breast Cancer cells are characterized by unrestrained division principal to abnormal growth & the ability of these cells to arrive in normal tissue locally or to spread through the body. This evolution is called metastasis. Hence early detection of breast cancer is essential in effective treatment and in reducing the number of deaths caused by it. There are mainly two types of breast cancer; Ductal carcinoma is the most common cancer in which cancer begins in the milk duct and the second one is that cancer which begins in the lobules which is called lobular carcinoma[2]. We can segregate the Cancer specimens by using risk dynamics. It may be genetic or environmental depending on Symptoms of breast cancer. Genetic factors include family history, personal health history, menstrual and reproductive history, dense breast tissue, certain genome changes, age, gender etc. The environmental factors include obesity, poor diet, alcohol consumption, and radiation, lack of physical activity etc. [3] .The initial symptom of a breast cancer is basically due to the formation of a lump which is due to tiny deposits of calcium called micro-calcifications. These tumors are generally Benign or malignant. The benign tumors are generally non-cancerous; they will not spread to other body parts. The malignant tumors on the other hand are considered as cancerous;they will spread all over the body. These cells are metastatic in nature [4].