NISCAIR Online Periodicals Repository

NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR)  >
NISCAIR PUBLICATIONS >
Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.71 [2012] >
JSIR Vol.71(01) [January 2012] >


Title: Experimental study for 3D statistical property based intracranial brain tumor classification
Authors: Christe, S Allin
Kumari, B Vasantha
Kandaswamy, A
Keywords: Benign
Brain tumor
CAD
3D
Malignant
Statistical texture measures
Issue Date: Jan-2012
Publisher: NISCAIR-CSIR, India
Abstract: This study determines how 3D gray level co-occurrence statistical texture measures magnetic resonance (MR) images toprovide a better discrimination and classification of non-tumor/tumor tissues when compared to 2D texture measures using onlythe statistical properties and without using any conventional classifiers. Experiments, conducted with 50 sets of different nontumor/tumor volumes, demonstrate superiority of 3D texture characterization for tumor discrimination. Validation of tumordiscrimination was done, and performance measures achieved an overall accuracy (80%) with sensitivity of 85.71% and 83.33%,and specificity of 80.95% and 80.77% for non-tumor vs tumor and for benign vs malignant tumors, respectively. This study is apart of developing a computer aided diagnosis (CAD) system for classification of brain tumors in vivo before going for pathologicaltests like biopsy.
Page(s): 36-44
CC License:  CC Attribution-Noncommercial-No Derivative Works 2.5 India
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.71(01) [January 2012]

Files in This Item:

File Description SizeFormat
JSIR 71(1) 36-44.pdf273 kBAdobe PDFView/Open
 Current Page Visits: 492 
Recommend this item

 

National Knowledge Resources Consortium |  NISCAIR Website |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2012 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 510907 since 06-Feb-2009  Last updated on 11-Apr-2014Webmaster: nopr@niscair.res.in