Implementation of a Commercial Deep Learning-Based Auto Segmentation Software in Radiotherapy: Evaluation of Effectiveness and Impact on Workflow

Proper delineation of both target volumes and organs at risk is a crucial step in the radiation therapy workflow. This process is normally carried out manually by medical doctors, hence demanding timewise. To improve efficiency, auto-contouring methods have been proposed. We assessed a specific comm...

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Detalles Bibliográficos
Autores principales: Radici, Lorenzo, Ferrario, Silvia, Borca, Valeria Casanova, Cante, Domenico, Paolini, Marina, Piva, Cristina, Baratto, Laura, Franco, Pierfrancesco, La Porta, Maria Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782080/
https://www.ncbi.nlm.nih.gov/pubmed/36556455
http://dx.doi.org/10.3390/life12122088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782080/
https://www.ncbi.nlm.nih.gov/pubmed/36556455
http://dx.doi.org/10.3390/life12122088

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