Survey on Breast Cancer Based on Extreme Learning Machine Features

Abstract

Extreme Learning Machine algorithm which it is an optimization based learning framework for compression, feature, clustering, regression and classification. It is an artificial hidden nodes and proposed to overcome these issues and offer better generalization performance by Unique minimum solution. In this paper Computer-aided diagnosis (CAD) based on Convolutional Neural Network (CNN) feature and they are based on deep, morphological, texture and density features. Mammography concept is been more used and to detect early stage of breast cancer and can helps out whether they are Malignant or Benign in CAD system they are classified by normal or abnormal tissue with the help of mammography images. The main objective of this paper is to detect the stage of breast cancer tissue is harmful or not in this algorithm.