AI-Based Approach to One-Click Chronic Subdural Hematoma Segmentation Using Computed Tomography Images

AI-Based Approach to One-Click Chronic Subdural Hematoma Segmentation Using Computed Tomography Images

This paper presents a computer vision-based approach to chronic subdural hematoma segmentation that can be performed by one click. Chronic subdural hematoma is estimated to occur in 0.002–0.02% of the general population each year and the risk increases with age, with a high frequency of about 0.05–0...

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Bibliographic Details
Main Authors: Andrey Petrov, Alexey Kashevnik, Mikhail Haleev, Ammar Ali, Arkady Ivanov, Konstantin Samochernykh, Larisa Rozhchenko, Vasiliy Bobinov
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
hematoma segmentation
computed tomography
computer vision
Online Access:https://www.mdpi.com/1424-8220/24/3/721

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