Literature Survey of Automated Detection of Breast Cancer

Authors

P.Thirumurugan, N. Lavanya Devi
Department of ECE, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
P.Shantha kumar

Department of CSE, Srisubramanya College of Engineering and Technology, Palani, Tamil Nadu, India.
Jothilakshmi

Department of Mathematics, Thiagarajar College of Engineering, Madurai, India.

Abstract

Breast cancer has become the major cause of the increase in mortality rate among women. The causes of breast cancer can be abnormal growth in the breast cell, dividing the cell faster than usual, and gathering of cells to form a mass. This abnormal growth will affect the cells in the nearby tissue also. The cancer cells in the breast frequently start in the milk- producing ducts. The causes of breast cancer can be a family history of breast cancer, age factor, exposure to radiation, beginning period at an earlier age, menopause at an older age, having first pregnancy at an older age, drinking alcohol etc. The symptoms of breast cancer can be the formation of lumps, discoloration, pain, change in size or shape, etc. This paper discusses the various algorithms and methods available in the literature survey for the detection of breast cancer in detail.