DL tool for white matter hyperintensities segmentation
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Updated
Aug 9, 2024 - Python
DL tool for white matter hyperintensities segmentation
Automated subdivision of white matter hyperintensities
DeepWMH: Annotation-free white matter hyperintensity (WMH) lesion segmentation tool using deep learning.
This is an automatic white matter hyperintensity segmentation tool on FLAIR images
Code and Datasets for the paper "Brain atlas guided attention u-net for white matter hyperintensity segmentation", published on AMIA 2021 Informatics Summit.
Brain white matter hyperintensity segmentation, with T1 and FLAIR MRI images, using UNet.
This repository is dedicated to the project of the Software and Computing course from the master degree in Applied Physics of the University of Bologna
State-of-the-art, deep learning-based segmentation of brain white matter hyperintensities (of presumed vascular origin) on MRI
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