Author : Ms. Komal R. Hausalmal and Prof. Jyoti P. Kshirsagar2

The classification of breast cancer has been the subject of interest in the fields of healthcare and bioinformatics, because it is the second main reason of cancer-related deaths in women. Breast cancer can be analyzed using a biopsy where tissue is eliminated and studied under microscope. The identification of problem is based on the qualification and experienced of the histopathologists, who will attention for abnormal cells. However, if the histopathologist is not well-trained or experienced, this may lead to wrong diagnosis. With the recent proposition in image processing and machine learning domain, there is an interest in experiment to develop a strong pattern recognition based framework to improve the quality of diagnosis. In this work,the image feature extraction approach and machine learning approach is used for the classification of breast cancer using histology images into malignant. The preprocessing on the image is done using histopathological image after that apply feature extraction and classify the final result using SVM and Naive Bayes Classification techniques.

Keywords: Histopathological image classification, breast cancer diagnose, feature extraction, SVM classification, NaiveBayes Classification;