Performance Evaluation of SVM a RBF Kernel for Medical Image Classification

N.T.Renukadevi

Performance Evaluation of SVM a RBF Kernel for Medical Image Classification

N.T.Renukadevi * §

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§ Kongu Engineering College

Performance Evaluation of SVM a RBF Kernel for Medical Image Classification

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Abstract

An approach for automatic classification of computed tomography (CT) medical images is presented in this paper. A vast amount of CT images are produced in modern hospitals due to advances of multi-slice Computed Tomography (CT) Scan which handles up to 64 slices per scan. So, an input image based automatic medical image retrieval system is now a necessity. In this paper, Coiflet wavelets are used to extract feature from the CT images. The extracted features are then classified using Support Vector Machine (SVM) with Radial Basis Function (RBF). The performance of SVM for varying parameters is investigated.

References

17 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N.T.Renukadevi. . "Performance Evaluation of SVM a RBF Kernel for Medical Image Classification". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F4).

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GJCST Volume 13 Issue F4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

coiflet wavelets computed tomography (CT)Content-Based Image Retrieval (CBIR)radial basis function (RBF)Support Vector Machine (SVM)

Classification

GJCST-F Classification I.5.m

Submission ReceivedDecember 11, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: N.T.Renukadevi, Dr.P.Thangaraj (PhD/Dr. count: 1)

View Count (all-time): 388

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Publish Date: 2013 01, Tue

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Total Views: 5.7K

Total Downloads: 407

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