Detection of Breast Cancer using ANN

Abstract

Breast cancer has become the leading cause of cancer deaths among women. To decrease the related mortality, disease must be treated as early as possible, but it is hard to detect and diagnose tumors at an early stage. Manual attempt have proven to be time consuming and inefficient in many cases. Hence there is a need for efficient methods that diagnoses the cancerous cell without human involvement with high accuracy. This paper proposes an automated technique using artificial neural network as decision making tools in the field of breast cancer. Image Processing plays significant role in cancer detection when input data is in the form of images. Statistical parameter analysis(Feature extraction) of image is important in mammogram classification. Features are extracted by using image processing. Different feature extraction methods used for classification of normal and abnormal patterns in mammogram. This method will give maximum accuracy at a high speed. The statistical parameter include entropy, mean, energy, correlation, texture, standard deviation .This parameters will act as a inputs to ANN which will diagnose and give the result whether image is cancerous or non-cancerous.