Semisupervised white matter hyperintensities segmentation on MRI

This study proposed a semisupervised loss function named level‐set loss (LSLoss) for cerebral white matter hyperintensities (WMHs) segmentation on fluid‐attenuated inversion recovery images. The training procedure did not require manually labeled WMH masks. Our image preprocessing steps included bia...

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Detalles Bibliográficos
Autores principales: Huang, Fan, Xia, Peng, Vardhanabhuti, Varut, Hui, Sai‐Kam, Lau, Kui‐Kai, Ka‐Fung Mak, Henry, Cao, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921214/
https://www.ncbi.nlm.nih.gov/pubmed/36214210
http://dx.doi.org/10.1002/hbm.26109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921214/
https://www.ncbi.nlm.nih.gov/pubmed/36214210
http://dx.doi.org/10.1002/hbm.26109

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