Deep learning‐based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy

Radiotherapy (RT) datasets can suffer from variations in annotation of organ at risk (OAR) and target structures. Annotation standards exist, but their description for prostate targets is limited. This restricts the use of such data for supervised machine learning purposes as it requires properly an...

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Detalles Bibliográficos
Autores principales: Jamtheim Gustafsson, Christian, Lempart, Michael, Swärd, Johan, Persson, Emilia, Nyholm, Tufve, Thellenberg Karlsson, Camilla, Scherman, Jonas
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/PMC8664152/
https://www.ncbi.nlm.nih.gov/pubmed/34623738
http://dx.doi.org/10.1002/acm2.13446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664152/
https://www.ncbi.nlm.nih.gov/pubmed/34623738
http://dx.doi.org/10.1002/acm2.13446

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