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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44508

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

A.Anbumani, Dr.P.Suresh Kumar

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

Keywords

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

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