Experimental study for 3D statistical property based intracranial brain tumor classification
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Title |
Experimental study for 3D statistical property based intracranial brain tumor classification
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| Creator |
Christe, S Allin
Kumari, B Vasantha Kandaswamy, A |
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| Subject |
Benign
Brain tumor CAD 3D Malignant Statistical texture measures |
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| Description |
36-44
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. |
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| Date |
2012-01-03T11:07:48Z
2012-01-03T11:07:48Z 2012-01 |
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| Type |
Article
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| Identifier |
0975-1084 (Online); 0022-4456 (Print)
http://hdl.handle.net/123456789/13325 |
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| Language |
en_US
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| Rights |
<img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
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| Publisher |
NISCAIR-CSIR, India
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| Source |
JSIR Vol.71(01) [January 2012]
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