Skip to Main content Skip to Navigation
Conference papers

HIST: HyperIntensity Segmentation Tool

Abstract : 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 le-sions that is based on the use of neural networks and an overcomplete strategy. The proposed method was compared to other related methods showing competitive and reliable results in two different neurodegenerative datasets.
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01398773
Contributor : Pierrick Coupé <>
Submitted on : Thursday, November 17, 2016 - 4:52:22 PM
Last modification on : Tuesday, March 17, 2020 - 10:25:34 AM
Document(s) archivé(s) le : Thursday, March 16, 2017 - 4:51:00 PM

File

PatchMI_HIST_seg_final.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Jose Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Jurgen Fripp, et al.. HIST: HyperIntensity Segmentation Tool. Patch-Based Techniques in Medical Imaging (MICCAI), Oct 2016, Athènes, Greece. pp.92 - 99, ⟨10.1007/978-3-319-47118-1_12⟩. ⟨hal-01398773⟩

Share

Metrics

Record views

226

Files downloads

571