Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans.

Journal: La Radiologia medica
PMID:

Abstract

PURPOSE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) head scans after traumatic brain injury (TBI).

Authors

  • Tommaso D'Angelo
    Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy.
  • Giuseppe M Bucolo
    Diagnostic and Interventional Radiology Unit, BIOMORF Department, University of Messina, Messina, Italy.
  • Tarek Kamareddine
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
  • Ibrahim Yel
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Vitali Koch
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Leon D Gruenewald
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Simon Martin
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany.
  • Leona S Alizadeh
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
  • Silvio Mazziotti
    Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy.
  • Alfredo Blandino
    Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy.
  • Thomas J Vogl
    Institute for Diagnostic and Interventional Radiology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
  • Christian Booz
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. experimentalimaging@gmail.com.