Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries

Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries

Detection and severity assessment of subdural hematoma is a major step in the evaluation of traumatic brain injuries. This is a retrospective study of 110 computed tomography (CT) scans from patients admitted to the Michigan Medicine Neurological Intensive Care Unit or Emergency Department. A machin...

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Bibliographic Details
Main Authors: Negar Farzaneh, Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli R. Bapuraj, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Diagnostics
Subjects:
clinical decision support system
subdural hematoma
medical image processing
machine learning
deep learning
Online Access:https://www.mdpi.com/2075-4418/10/10/773

Internet

https://www.mdpi.com/2075-4418/10/10/773

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