Mammogram breast cancer segmentation and classification usingHierarchical Fuzzy C Means – Modified Expectation Maximization algorithm and deep convolutional neural network

Volume 20 No 8 (2022)

A.Anbumani, Dr.P.Suresh Kumar

DOI: 10.14704/nq.2022.20.8.NQ44508

Abstract

Among different types of cancer the most common type that affects mostly the women is Breast cancer. It is estimated to contribute around 14% of the total deaths [1]. World Health Organization hasreported that around 13.7% of the women die due to breast cancer [2]. Hence, early detection of this type of cancer is highly essential so that treatment can be started at an early stage

Keywords

2DGGIF, NSCT, GLRM, DCNN, Classification, Segmentation.

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