Sridevi, V (2019) A Survey on Breast Cancer Segmentation and Classification Using Several Methods. A Survey on Breast Cancer Segmentation and Classification Using Several Methods, 8 (3). ISSN 2319 – 1953

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Abstract

The early detection of breast cancer is an important
factor in a medical field to control the disease as well as increase the
success of treatment. In a present day, a mammogram is a most
important and frequently used tool to diagnose and detect the
breast cancer. The most common abnormalities of breast cancer
are mass and microcalcification. These abnormalities are missed or
misinterpreted by radiologist in times of the large number of
screening programs. To overcome this problem, computer aided
diagnosis (CAD) system is introduced to analysis the medical image
and provide accurate results. The CAD system helps the radiologist
and reduces the number of false positive in their results. The
overview of a CAD system is preprocessing, segmentation, feature
extraction and classification. The above stages are summarized and
discussed in this paper.

Item Type: Article
Uncontrolled Keywords: ANN Classifier, SVM, Fuzzy C Means, Digital mammography, micro calcification, Linear Discriminant analysis
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 06 Oct 2025 07:03
Last Modified: 06 Oct 2025 07:03
URI: https://ir.psgcas.ac.in/id/eprint/2458

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