A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
HIST: HyperIntensity Segmentation Tool
[chapter]
2016
Lecture Notes in Computer Science
Accurate quantification of white matter hyperintensities (WMH) from MRI is a valuable tool for studies on ageing and neurodegeneration. Reliable automatic extraction of WMH biomarkers is challenging, primarily due to their heterogeneous spatial occurrence, their small size and their diffuse nature. In this paper, we present an automatic and accurate method to segment these lesions that is based on the use of neural networks and an overcomplete strategy. The proposed method was compared to other
doi:10.1007/978-3-319-47118-1_12
fatcat:hg5emgvt4fgyxarej4z24naqq4