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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17548
Title: Derived Shape Features for Brain Hemorrhage Classification
Authors: Ray S.
Kumar V.
Das K.N.
Bansal J.C.
Deep K.
Nagar A.K.
Pathipooranam P.
Naidu R.C.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: This paper presents the potential of derived shape features in the classification of the brain hemorrhage. Derived shape features are secondary features which are calculated from commonly used popular primary shape features. These features contain more relevant information having higher dependency on the shape of the target hemorrhage. Selection of high potential features is done to reduce the dimension of the input feature set to optimize classifier accuracy. The potential of these derived features is demonstrated and discussed with respect to the primary features. © 2020, Springer Nature Singapore Pte Ltd.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2020), 431- 442
URI: https://doi.org/10.1007/978-981-15-0035-0_34
http://repository.iitr.ac.in/handle/123456789/17548
Issue Date: 2020
Publisher: Springer
Keywords: Brain image
Classification
Hemorrhage
Secondary features
Shape features
ISBN: 9789811500343
ISSN: 21945357
Author Scopus IDs: 57192991570
25646515800
Author Affiliations: Ray, S., Electrical Department, Indian Institute of Technology, Roorkee, Roorkee, Uttarakhand 247667, India
Kumar, V., Electrical Department, Indian Institute of Technology, Roorkee, Roorkee, Uttarakhand 247667, India
Corresponding Author: Ray, S.; Electrical Department, Indian Institute of Technology, RoorkeeIndia; email: Soumiray.eng@gmail.com
Appears in Collections:Conference Publications [EE]

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