Significance of Haralick Features in Bone Tumor Classification Using Support Vector Machine

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
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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