SNN Based Feature Extraction and Classification of Tumor in Breast Images

Abstract

The innovation of tumors in breast images is very difficult. The process of founding the classification or lesion inside the breast tissue is more tedious and takes more time in the current scenario. So that we optimize the novel approaches of tumor feature extraction for breast images with explicit knowledge. We concentrate the foremost important Algorithm of Block matching for segmentation and Spiking neural network for feature extraction. The decision tree elucidates the classification of tumors in the breast image easily. This new approach ensures that decision is taken inaccurately for tumor detection in breast images. The obtained result image has been evaluating some image quality measures to give better accuracy and these novel methods are highly encouraged.