Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer

BACKGROUND: The evaluation of automatic segmentation algorithms is commonly performed using geometric metrics. An analysis based on dosimetric parameters might be more relevant in clinical practice but is often lacking in the literature. The aim of this study was to investigate the impact of state-o...

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Detalles Bibliográficos
Autores principales: Kawula, Maria, Purice, Dinu, Li, Minglun, Vivar, Gerome, Ahmadi, Seyed-Ahmad, Parodi, Katia, Belka, Claus, Landry, Guillaume, Kurz, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805311/
https://www.ncbi.nlm.nih.gov/pubmed/35101068
http://dx.doi.org/10.1186/s13014-022-01985-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805311/
https://www.ncbi.nlm.nih.gov/pubmed/35101068
http://dx.doi.org/10.1186/s13014-022-01985-9

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