Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case

BACKGROUND: Oropharyngeal cancer (OPC) is a widespread disease, with radiotherapy being a core treatment modality. Manual segmentation of the primary gross tumor volume (GTVp) is currently employed for OPC radiotherapy planning, but is subject to significant interobserver variability. Deep learning...

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Detalles Bibliográficos
Autores principales: Sahlsten, Jaakko, Jaskari, Joel, Wahid, Kareem A., Ahmed, Sara, Glerean, Enrico, He, Renjie, Kann, Benjamin H., Mäkitie, Antti, Fuller, Clifton D., Naser, Mohamed A., Kaski, Kimmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980236/
https://www.ncbi.nlm.nih.gov/pubmed/36865296
http://dx.doi.org/10.1101/2023.02.20.23286188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980236/
https://www.ncbi.nlm.nih.gov/pubmed/36865296
http://dx.doi.org/10.1101/2023.02.20.23286188

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