A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images

A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images

Introduction: Accurate diagnosis of acute Intracranial Hemorrhage (ICH) involving vascular and non-vascular bleeding has proven to be challenging due to the visual complexities in non-contrast Computed Tomography images (NCCT). Consequently, there has been a necessity for the adoption of novel techn...

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Bibliographic Details
Main Authors: Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi
Format: Article
Language:English
Published: Mashhad University of Medical Sciences 2025-04-01
Series:Iranian Journal of Medical Physics
Subjects:
intracranial hemorrhages
machine learning
computed x ray tomography
Online Access:https://ijmp.mums.ac.ir/article_25937_c48a913a4452f1469e1ab3c88a9b70ce.pdf
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