The week's pick
Reseach Article
A Comparative Study of Classifiers for Tumor Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 26 |
| Year of Publication: 2018 |
| Authors: Priya M. Jadhav, Manu T. M. |
10.5120/ijca2018918062
|
Priya M. Jadhav, Manu T. M. . A Comparative Study of Classifiers for Tumor Detection. International Journal of Computer Applications. 181, 26 ( Nov 2018), 1-6. DOI=10.5120/ijca2018918062
Abstract
Image-processing is a demanding field that includes various applications such as CT-scan, angiography, MRI etc. MRI is the standard non invasive skill used for analyzing, diagnosing and treating the abnormal tissues. In the proposed method for improving the contrast we utilized enhancement techniques. For skull striping adaptive thresholding and morphological operations are being employed. For extraction of features we employed GLRLM. Further we applied some techniques such as linear-SVC, decision tree and SVM for classifying the brain MRI images. SVM provided effective and accurate results among all the classifiers.
References
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