Breast Cancer Detection Using Ann Classifier
MISS.RUTUJA PINAGEL, MISS.SONAL LOKHANDE · Zenodo (CERN European Organization for Nuclear Research) · 2017
NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGIN EERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN:2394 - 3696 VOLUME 4,ISSUE Breast cancer has become common cancer which is seen in most of womens. To decrease the related mortality cancer must be treated early. But it is hard to detect and diagnose tumor at an early stage. It will take lot of time if we go for manual detection an d it is very inefficient. Hence there is need for efficient method that diagnoses the cancer with less time and high accuracy. So in our project we are using technique called ANN as a decision making tool in field of breast cancer. Image Processing plays important role in cancer detection when input data is in the form of images. 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 parameter include in feature extraction is Mean and Entropy. This parameters are inputs to ANN which will diagnose and give the result whether image is cancerous and non - cancerous. https://www.ijiert.org/paper-details?paper_id=141056