Ensemble learning via supervision augmentation for white matter hyperintensity segmentation

Since the ambiguous boundary of the lesion and inter-observer variability, white matter hyperintensity segmentation annotations are inherently noisy and uncertain. On the other hand, the high capacity of deep neural networks (DNN) enables them to overfit labels with noise and uncertainty, which may...

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Detalles Bibliográficos
Autores principales: Guo, Xutao, Ye, Chenfei, Yang, Yanwu, Zhang, Li, Liang, Li, Lu, Shang, Lv, Haiyan, Guo, Chunjie, Ma, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521379/
https://www.ncbi.nlm.nih.gov/pubmed/36188477
http://dx.doi.org/10.3389/fnins.2022.946343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521379/
https://www.ncbi.nlm.nih.gov/pubmed/36188477
http://dx.doi.org/10.3389/fnins.2022.946343

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