Fully automated sinogram-based deep learning model for detection and classification of intracranial hemorrhage.

Journal: Medical physics
Published Date: Sep 13, 2023

Abstract

PURPOSE: To propose an automated approach for detecting and classifying Intracranial Hemorrhages (ICH) directly from sinograms using a deep learning framework. This method is proposed to overcome the limitations of the conventional diagnosis by eliminating the time-consuming reconstruction step and minimizing the potential noise and artifacts that can occur during the Computed Tomography (CT) reconstruction process.

Authors

  • Chitimireddy Sindhura
    Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India.
  • Mohammad Al Fahim
    Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India.
  • Phaneendra K Yalavarthy
    Indian Institute of Science, Department of Computational and Data Sciences, Bangalore, Karnataka, India.
  • Subrahmanyam Gorthi
    Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India.

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