Paper Title

Survey of Brain Tumor Image Quarrying Techniques

Authors

Prashant Aher , Prof. Umesh Lilhore

Keywords

Index Terms— Data mining, Image quarrying, Brain tumor and MRI, ANN Classifier.

Abstract

Abstract— Image quarrying is a sub field of Data mining technique. Image quarrying techniques are widely used to analyze and retrieve meaningful information from image data set. In medical field MRI images are widely generating day by day, for various brain tumor patients. Analysis of MRI images more efficiently and correctly is a growing field of research. Various researchers have been suggested different image quarrying rules and techniques for tumor detection from MRI images. In this research paper we are presenting a comparative study of various image quarrying methods for brain tumor detection. This paper also presents challenges or limitations of existing methods.

How To Cite

"Survey of Brain Tumor Image Quarrying Techniques ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.111 - 115, December-2016, Available :https://ijsdr.org/papers/IJSDR1612023.pdf

Issue

Volume 1 Issue 12, December-2016

Pages : 111 - 115

Other Publication Details

Paper Reg. ID: IJSDR_160990

Published Paper Id: IJSDR1612023

Downloads: 000347239

Research Area: Engineering

Country: Panchavati, Nasik, maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612023

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612023

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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