Development and validation of a two-stage convolutional neural network algorithm for segmentation of MRI white matter hyperintensities for longitudinal studies in CADASIL
Altogether, our findings suggest that WMH progression in CADASIL can be measured automatically with adequate confidence by a CNN segmentation algorithm.
Authors
- Florent Roche
- Éric Jouvent
- May Taha
- Jessica Lebenberg (ORCID: https://orcid.org/0000-0002-5403-8288)
- Fabrice Vincent
- Hugues Chabriat (ORCID: https://orcid.org/0000-0001-8436-6074)
- Ruiting Zhang (ORCID: https://orcid.org/0000-0002-8464-8474)
- Valentin Demeusy
Institutions
- Inserm (FR)
- Université Paris Cité (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital Lariboisière (FR)
- FHU Neurovasc (FR)
- Second Affiliated Hospital of Zhejiang University (CN)
- NeuroDiderot (FR)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1016/j.compbiomed.2024.108936
- Citations
- 1
- Primary Topic
- Cerebrovascular and genetic disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- Agence Nationale de la Recherche