wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T

• Published in: arXiv.org
• Main Authors: Li, Jinghang, Santini, Tales, Huang, Yuanzhe, Mettenburg, Joseph M, Ibrahim, Tamer S, Aizenstein, Howard J, Wu, Minjie
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 20.02.2024
• Subjects: Biomarkers; Deep learning; Image segmentation; Inhomogeneity; Magnetic resonance imaging; Medical imaging; Robustness; Transformers

White matter hyperintensity (WMH) remains the top imaging biomarker for neurodegenerative diseases. Robust and accurate segmentation of WMH holds paramount significance for neuroimaging studies. The growing shift from 3T to 7T MRI necessitates robust tools for harmonized segmentation across field st...