Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation

Despite recent advances in the accuracy of brain tumor segmentation, the results still suffer from low reliability and robustness. Uncertainty estimation is an efficient solution to this problem, as it provides a measure of confidence in the segmentation results. The current uncertainty estimation m...

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Detalles Bibliográficos
Autores principales: Li, Hao, Nan, Yang, Del Ser, Javier, Yang, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
S.I.: Deep Learning in Multimodal Medical Imaging for Cancer Detection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505106/
https://www.ncbi.nlm.nih.gov/pubmed/37724130
http://dx.doi.org/10.1007/s00521-022-08016-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505106/
https://www.ncbi.nlm.nih.gov/pubmed/37724130
http://dx.doi.org/10.1007/s00521-022-08016-4

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