Automated subdivision of white matter hyperintensities

DL tool for white matter hyperintensities segmentation

DeepWMH: Annotation-free white matter hyperintensity (WMH) lesion segmentation tool using deep learning.

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 is an automatic white matter hyperintensity segmentation tool on FLAIR images

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

White matter hyperintensities are signal abnormalities in the white matter that appear as bright areas on T2-weighted MRI sequences. These abnormalities are commonly observed in the brains of elderly individuals. BIANSA is an algorithm that offers a novel approach to automatically segment the abnormal lesions of white matter hyperintensities.