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|
P.Kanmani, Dr.P.Marikkannu, M.Brindha, "A Medical Image Classification using ID3 Classifier" SSRG International Journal of Computer Science and Engineering 3.10 (2016): 8-11.
P.Kanmani, Dr.P.Marikkannu, M.Brindha,(2016). A Medical Image Classification using ID3 Classifier. SSRG International Journal of Computer Science and Engineering 3.10, 8-11.
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.
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Image Segmentation, ID3, Association Rule mining, Classification