Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer

Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer

Abstract Background and purpose White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a 3D convolutional neural network and a 3D...

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Main Authors: Yun-Ting Chen, Yan-Cheng Huang, Hsiu-Ling Chen, Hsin-Chih Lo, Pei-Chin Chen, Chiun-Chieh Yu, Yi-Chin Tu, Tyng-Luh Liu, Wei-Che Lin
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Neurology
Subjects:
White matter hyperintensities
Segmentation
Brain MRI
Convolutional neural network
Vision transformer
Online Access:https://doi.org/10.1186/s12883-024-04010-6
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https://doi.org/10.1186/s12883-024-04010-6

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