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
About this item
Full title
Publisher
Stefan cel Mare University of Suceava
Journal title
Language
English
Formats
Publication information
Publisher
Stefan cel Mare University of Suceava
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More information
Scope and Contents
Contents
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 for automatic segmentation of ischemic stroke areas,...
Alternative Titles
Full title
Automated Segmentation of Acute Ischemic Stroke Using Attention U-net with Patch Mechanism
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_348fc745ecfb432da97009bd5bb9cc75
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_348fc745ecfb432da97009bd5bb9cc75
Other Identifiers
ISSN
1582-7445
E-ISSN
1844-7600
DOI
10.4316/AECE.2025.01004
