Exemplar deep and hand-modeled features based automated and accurate cerebral hemorrhage classification method.

Journal: Medical engineering & physics
Published Date: May 13, 2022

Abstract

BACKGROUND: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the type of CH is a very crucial step in treatment. Therefore, CH requires a prompt and accurate diagnosis. To simplify this process, an accurate CH classification model is presented using a machine learning technique.

Authors

  • M Sait Din
    Department of Emergency, College of Medicine, Inonu University, Malatya, Turkey. Electronic address: msait.din@gmail.com.
  • Sukru Gurbuz
    Department of Emergency, College of Medicine, Inonu University, Malatya, Turkey. Electronic address: sukrugurbuz@gmail.com.
  • Erhan Akbal
    Department of Digital Forensics Engineering, College of Technology, Firat University, Elazig, Turkey. Electronic address: erhanakbal@firat.edu.tr.
  • Sengul Dogan
    Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey.
  • M Akif Durak
    Department of Neurosurgery, College of Medicine, Inonu University, Malatya, Turkey. Electronic address: akif.durak@inonu.edu.tr.
  • I Okan Yildirim
    Department of Radiology, College of Medicine, Inonu University, Malatya, Turkey. Electronic address: okan.yildirim@inonu.edu.tr.
  • Turker Tuncer
    Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey.

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