Segmentation of Leukoaraiosis on Noncontrast Head CT Using CT‐MRI Paired Data Without Human Annotation

Segmentation of Leukoaraiosis on Noncontrast Head CT Using CT‐MRI Paired Data Without Human Annotation

ABSTRACT Objective Evaluating leukoaraiosis (LA) on CT is challenging due to its low contrast and similarity to parenchymal gliosis. We developed and validated a deep learning algorithm for LA segmentation using CT‐MRIFLAIR paired data from a multicenter Korean registry and tested it in a US dataset...

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Bibliographic Details
Main Authors: Wi‐Sun Ryu, Jae W. Song, Jae‐Sung Lim, Ju Hyung Lee, Leonard Sunwoo, Dongmin Kim, Dong‐Eog Kim, Hee‐Joon Bae, Myungjae Lee, Beom Joon Kim
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Brain and Behavior
Subjects:
computed tomography
deep learning
leukoaraiosis
magnetic resonance imaging
segmentation algorithm
white matter hyperintensities
Online Access:https://doi.org/10.1002/brb3.70602
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https://doi.org/10.1002/brb3.70602

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