Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach

Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach

Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be subtle and need confirmation with magnetic resonance (MR) image for treatment decision-making. We retrospectively included the NCCT slices of 129 normal subjects and 546 ischemic stroke patients (onset 

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Veröffentlicht in:Scientific reports 2022-10, Vol.12 (1), p.18054-18054, Article 18054
Hauptverfasser: Sahoo, Prasan Kumar, Mohapatra, Sulagna, Wu, Ching-Yi, Huang, Kuo-Lun, Chang, Ting-Yu, Lee, Tsong-Hai
Format: Artikel
Sprache:eng
Schlagworte:
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Concept learning
Decision making
Deep Learning
Humanities and Social Sciences
Humans
Ischemia
Ischemic Stroke
Lesions
Magnetic resonance imaging
multidisciplinary
Neural networks
Patients
Retrospective Studies
Science
Science (multidisciplinary)
Stroke
Stroke - diagnostic imaging
Tomography, X-Ray Computed - methods
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Zusammenfassung:Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be subtle and need confirmation with magnetic resonance (MR) image for treatment decision-making. We retrospectively included the NCCT slices of 129 normal subjects and 546 ischemic stroke patients (onset 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-22939-x