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Reseach Article

A Survey on Various Classification Techniques for Medical Image Data

by Niranjan J. Chatap, Ashish Kr. Shrivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 15
Year of Publication: 2014
Authors: Niranjan J. Chatap, Ashish Kr. Shrivastava

Niranjan J. Chatap, Ashish Kr. Shrivastava . A Survey on Various Classification Techniques for Medical Image Data. International Journal of Computer Applications. 97, 15 ( July 2014), 1-5. DOI=10.5120/17080-7528

@article{ 10.5120/17080-7528,
author = { Niranjan J. Chatap, Ashish Kr. Shrivastava },
title = { A Survey on Various Classification Techniques for Medical Image Data },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 15 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/17080-7528 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:24:09.521304+05:30
%A Niranjan J. Chatap
%A Ashish Kr. Shrivastava
%T A Survey on Various Classification Techniques for Medical Image Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 15
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

In this paper a survey on various classification techniques for medical image and also its application for detection of many diseases. Several classification techniques are investigated till today. One of the best methods for classification techniques artificial neural network and SVM (Support Vector Machine). In past many classification techniques by using GA (Genetic Algorithm) and PSO (Particle Swarm Optimization) are commonly used. The classification techniques provide invaluable information to pathologist for diagnosis and treatment of diseases. By identifying and counting blood cell within the blood smear using classification techniques it's quite possible to detect so many diseases. If we use one of the new classifier i. e. nearest neighbor and SVM it is quiet possible to detect the cancer cell from the blood cell counting.

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Index Terms

Computer Science
Information Sciences


Medical imaging classification technique Artificial Neural Network Nearest Neighbor Network SVM