Breast Cancer-Early Detection and Classification Techniques: A Survey

Anu Appukuttan; Sindhu L.

Research Article

Breast Cancer-Early Detection and Classification Techniques: A Survey

by Anu Appukuttan, Sindhu L.

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 132 - Issue 11

Published: December 2015

Authors: Anu Appukuttan, Sindhu L.

10.5120/ijca2015907557

PDF

Anu Appukuttan, Sindhu L. . Breast Cancer-Early Detection and Classification Techniques: A Survey. International Journal of Computer Applications. 132, 11 (December 2015), 9-13. DOI=10.5120/ijca2015907557

                        @article{ 10.5120/ijca2015907557,
                        author  = { Anu Appukuttan,Sindhu L. },
                        title   = { Breast Cancer-Early Detection and Classification Techniques: A Survey },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 132 },
                        number  = { 11 },
                        pages   = { 9-13 },
                        doi     = { 10.5120/ijca2015907557 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2015
                        %A Anu Appukuttan
                        %A Sindhu L.
                        %T Breast Cancer-Early Detection and Classification Techniques: A Survey%T 
                        %J International Journal of Computer Applications
                        %V 132
                        %N 11
                        %P 9-13
                        %R 10.5120/ijca2015907557
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

Breast Cancer is the most common incursive cancer which is found in females all through the world. Of all the female cancers it comprises of 16% and it accounts for 22.9% of invasive cancer in women. of all the cancer deaths 18.2% are from breast cancer which includes males and females.. As the modern science is improving many researches and techniques have been emerged to eradicate this dreadful disease. So there is a need of an automated computer aided diagnosis system and it is proposed here. This survey paper focus on highlighting different techniques on enhancement, detection and classification of breast cancer along with its accuracy.

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Accuracy Breast Cancer CAD Classifiers Detection Enhancement. MIAS.