UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 6
June-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1506069


Registration ID:
180104

Page Number

2095-2100

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Title

Combining Support Vector Machine with Relief F algorithm to classify ultrasound breast tumour images

Abstract

Distinguishing between malignant and benign tumours is difficult and time-consuming task for radiologists. This leads to a high rate of unnecessary biopsies that can be avoided. So, we are proposing a method to effectively differentiate benign and malignant tumours with optimal feature set. Statistical texture features are extracted from tumour region by recent shearlet transform and then to reduce the dimensionality of the feature in order to reduce the computational complexity feature selection methods are applied. Feature selection methods are such as Principal component analysis (PCA), Genetic algorithm and ReliefF based feature selection methods are applied. Using the new reduced feature set abnormalities are classified using KNN and SVM classifier. By comparing the Performance of the feature selection methods ReliefF based feature selection with SVM classification method gives with the Accuracy of 78.33%, Sensitivity is 84.16% and 80.16% as specificity.

Key Words

PCA, Genetic algorithm, Feature selection, Shearlet Transform,k-NN,SVM and ReliefF.

Cite This Article

"Combining Support Vector Machine with Relief F algorithm to classify ultrasound breast tumour images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 6, page no.2095-2100, July-2015, Available :http://www.jetir.org/papers/JETIR1506069.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Combining Support Vector Machine with Relief F algorithm to classify ultrasound breast tumour images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 6, page no. pp2095-2100, July-2015, Available at : http://www.jetir.org/papers/JETIR1506069.pdf

Publication Details

Published Paper ID: JETIR1506069
Registration ID: 180104
Published In: Volume 2 | Issue 6 | Year June-2015
DOI (Digital Object Identifier):
Page No: 2095-2100
Country: VISAKHAPATNAM, ANDHRA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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