Suhas, M V and Swathi, B P (2019) Significance of Haralick Features in Bone Tumor Classification Using Support Vector Machine. In: Engineering Vibration, Communication and Information Processing. Springer Singapore, pp. 349-361. ISBN 978-981-13-1642-5
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Abstract
Accurate classification of bone lesions into benign and malignant tumors plays a key role in determining the treatment course (surgical intervention or radiation), an essential part of radiologists work. In this work, we investigate the significance
Item Type: | Book Section |
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Uncontrolled Keywords: | Haralick features, SVM, CT, Bone cancer, Correlation based feature subset selection |
Subjects: | Engineering > MIT Manipal > Electronics and Communication Engineering > MIT Manipal > Information and Communication Technology |
Depositing User: | MIT Library |
Date Deposited: | 19 Sep 2019 06:27 |
Last Modified: | 19 Sep 2019 06:27 |
URI: | http://eprints.manipal.edu/id/eprint/154607 |
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