Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation

White matter hyperintensities (WMHs) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and increased risk of dementia. Many existing WMH segmentation algorithms produce suboptimal results in populations with vascular lesions or brain...

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Detalles Bibliográficos
Autores principales: Mojiri Forooshani, Parisa, Biparva, Mahdi, Ntiri, Emmanuel E., Ramirez, Joel, Boone, Lyndon, Holmes, Melissa F., Adamo, Sabrina, Gao, Fuqiang, Ozzoude, Miracle, Scott, Christopher J. M., Dowlatshahi, Dar, Lawrence‐Dewar, Jane M., Kwan, Donna, Lang, Anthony E., Marcotte, Karine, Leonard, Carol, Rochon, Elizabeth, Heyn, Chris, Bartha, Robert, Strother, Stephen, Tardif, Jean‐Claude, Symons, Sean, Masellis, Mario, Swartz, Richard H., Moody, Alan, Black, Sandra E., Goubran, Maged
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Technical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996363/
https://www.ncbi.nlm.nih.gov/pubmed/35088930
http://dx.doi.org/10.1002/hbm.25784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996363/
https://www.ncbi.nlm.nih.gov/pubmed/35088930
http://dx.doi.org/10.1002/hbm.25784

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