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