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A Medical Image Classification using ID3 Classifier

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 10
Year of Publication : 2016
Authors : P.Kanmani, Dr.P.Marikkannu, M.Brindha
10.14445/23488387/IJCSE-V3I10P105

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How to Cite?

P.Kanmani, Dr.P.Marikkannu, M.Brindha, "A Medical Image Classification using ID3 Classifier," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 10, pp. 8-11, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I10P105

Abstract:

Segmentation and classification of brain tumors using Magnetic Resonance Imaging(MRI) and Computed Tomography(CT) is a difficult task due to the various complexity of tumors.This paper presents ID3 classifier with association rule mining for solving classification problems of the MRI images.The proposed method consists of mainly three stages, Preprocessing, Association Rule Mining and Classification.ID3 classifier is used for predicting classification based on sensitivity,specificity and accuracy.The main goal of this method is to achieve the higher accuracy rate and lower error rate.

Keywords:

Image Segmentation, ID3, Association Rule mining, Classification

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