U-Net-Based Models for Precise Brain Stroke Segmentation
U-Net-Based Models for Precise Brain Stroke Segmentation
About this item
Full title
U-Net-Based Models for Precise Brain Stroke Segmentation
Author / Creator
Journal title
Chaos theory and applications, 2025-03, Vol.7 (1), p.50-60
Language
English
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Scope and Contents
Contents
Ischemic stroke, a widespread neurological condition with a substantial mortality rate, necessitates accurate delineation of affected regions to enable proper evaluation of patient outcomes. However, such precision is complicated by factors like variable lesion sizes, noise interference, and the overlapping intensity characteristics of different ti...
Alternative Titles
Full title
U-Net-Based Models for Precise Brain Stroke Segmentation
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_51537_chaos_1605529
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_51537_chaos_1605529
Other Identifiers
ISSN
2687-4539
E-ISSN
2687-4539
DOI
10.51537/chaos.1605529
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