Automated Segmentation of Acute Ischemic Stroke Using Attention U-net with Patch Mechanism

Automated Segmentation of Acute Ischemic Stroke Using Attention U-net with Patch Mechanism

This paper addresses ischemic stroke detection using deep learning techniques to interpret medical images like MRI and CT scans, with a focus on segmentation. Ischemic stroke occurs when a blockage in brain arteries disrupts blood flow, impairing brain functions. The study aims to develop a model...

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Bibliographic Details
Main Authors: CINAR, N., UCAN, M., KAYA, B., KAYA, M.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2025-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
attention u-net
brain stroke segmentation
deep learning
ischemic stroke
u-net
Online Access:http://dx.doi.org/10.4316/AECE.2025.01004
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