Multi-Model Approach and Fuzzy Clustering for Mammogram Tumor to Improve Accuracy

Sarada Ghosh,Manuel De La Sen,Guruprasad Samanta

doi:10.3390/computation9050059

Abstract

Breast Cancer is one of the most common diseases among women which seriously affect health and threat to life. Presently, mammography is an uttermost important criterion for diagnosing breast cancer. In this work, image of breast cancer mass detection in mammograms with 1024×1024 pixels is used as dataset. This work investigates the performance of various approaches on classification techniques. Overall support vector machine (SVM) performs better in terms of log-loss and classification accuracy rate than other underlying models. Therefore, further extensions (i.e., multi-model ensembles method, Fuzzy c-means (FCM) clustering and SVM combination method, and FCM clustering based SVM model) and comparison with SVM have been performed in this work. The segmentation by FCM clustering technique allows one piece of data to belong in two or more clusters. The additional parts are due to the segmented image to enhance the tumor-shape. Simulation provides the accuracy and the area under the ROC curve for mini-MIAS are 91.39% and 0.964 respectively which give the confirmation of the effectiveness of the proposed algorithm (FCM-based SVM). This method increases the classification accuracy in the case of a malignant tumor. The simulation is based on R-software.

Highlights

Cancer is a disease which arises from cells that leave the cell cycle and start to proliferate in an uncontrolled manner and spread into surrounding tissues
Each method has been evaluated using the criteria of log loss and classification accuracy
Breast cancer (BC) is a very serious disease among women worldwide as it is accountable for increasing death rates among women

Summary

Introduction

Cancer is a disease which arises from cells that leave the cell cycle and start to proliferate in an uncontrolled manner and spread into surrounding tissues. In United States, 40,610 women would die due to breast cancer (BC) in 2017 as estimated by the American Cancer Society (according as AMC, i.e., Annual Maintenance Contract; source: Facts and figures 2017–2018) [1]. In the year of 2015, the number of women died of BC is minimum 571 thousand reported by WHO (World Health Organization) (source: Cancer—WHO fact sheets 2017). A single woman dies per minute because of breast cancer. This death rate is very high because of delaying tumor-diagnosis but early detection of breast cancer and properly therapy can able for decreasing mortality rates. This proliferation could be induced by hormones that are impinging on the breast. The kind of breast cancer depends on which cells in the breast turn into cancer [4]

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