Real-world analysis of manual editing of deep learning contouring in the thorax region

BACKGROUND AND PURPOSE: User-adjustments after deep-learning (DL) contouring in radiotherapy were evaluated to get insight in real-world editing during clinical practice. This study assessed the amount, type and spatial regions of editing of auto-contouring for organs-at-risk (OARs) in routine clini...

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Detalles Bibliográficos
Autores principales: Vaassen, Femke, Boukerroui, Djamal, Looney, Padraig, Canters, Richard, Verhoeven, Karolien, Peeters, Stephanie, Lubken, Indra, Mannens, Jolein, Gooding, Mark J., van Elmpt, Wouter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115320/
https://www.ncbi.nlm.nih.gov/pubmed/35602549
http://dx.doi.org/10.1016/j.phro.2022.04.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115320/
https://www.ncbi.nlm.nih.gov/pubmed/35602549
http://dx.doi.org/10.1016/j.phro.2022.04.008

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