Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques

Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques

Abstract By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive diagnosis and CT (Computed Tomography) hemorrhage segmentation (CT) could be beneficial. Owing to the significance of medical image segmentation and the difficulties in carrying out human ope...

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Bibliographic Details
Main Authors: S. Nafees Ahmed, P. Prakasam
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Intracranial hemorrhage
MUNET
Deep learning
Segmentation
Classification
Online Access:https://doi.org/10.1038/s41598-025-01317-3
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https://doi.org/10.1038/s41598-025-01317-3

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