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Derived Shape Features for Brain Hemorrhage Classification

  • Soumi RayEmail author
  • Vinod Kumar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)

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.

Keywords

Classification Secondary features Hemorrhage Brain image Shape features 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Electrical DepartmentIndian Institute of Technology, RoorkeeRoorkeeIndia

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