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Classification of Hematomas in Brain CT Images Using Support Vector Machine

  • Devesh Kumar Srivastava
  • Bhavna Sharma
  • Ayush Singh
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 10)

Abstract

Hematoma is caused due to traumatic brain injuries. Automatic detection and classification system can assist the doctors for analyzing the brain images. This paper classifies the three types of hematomas in brain CT scan images using Support vector machine (SVM). The SVM has been simulated and trained according to the dataset. Trained SVM classifiers performances were compared on the basis of parameters, i.e., classification accuracy, mean square error, training time, and testing time. The classification process depends on the training dataset and results are based on simulation of the classifiers.

Keywords

CT scan Hematoma Data mining Support vector machine 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Devesh Kumar Srivastava
    • 1
  • Bhavna Sharma
    • 2
  • Ayush Singh
    • 1
  1. 1.SCITManipal University JaipurJaipurIndia
  2. 2.Apex Institute of Engineering & TechnologyJaipurIndia

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