A sensitivity analysis of probability maps in deep‐learning‐based anatomical segmentation

PURPOSE: Deep‐learning‐based segmentation models implicitly learn to predict the presence of a structure based on its overall prominence in the training dataset. This phenomenon is observed and accounted for in deep‐learning applications such as natural language processing but is often neglected in...

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Detalles Bibliográficos
Autores principales: Bice, Noah, Kirby, Neil, Li, Ruiqi, Nguyen, Dan, Bahr, Tyler, Kabat, Christopher, Myers, Pamela, Papanikolaou, Niko, Fakhreddine, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364283/
https://www.ncbi.nlm.nih.gov/pubmed/34231950
http://dx.doi.org/10.1002/acm2.13331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364283/
https://www.ncbi.nlm.nih.gov/pubmed/34231950
http://dx.doi.org/10.1002/acm2.13331

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