Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer

INTRODUCTION: Deep learning (DL) models are increasingly developed for auto-segmentation in radiotherapy. Qualitative analysis is of great importance for clinical implementation, next to quantitative. This study evaluates a DL segmentation model for left- and right-sided locally advanced breast canc...

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Detalles Bibliográficos
Autores principales: Bakx, Nienke, Rijkaart, Dorien, van der Sangen, Maurice, Theuws, Jacqueline, van der Toorn, Peter-Paul, Verrijssen, An-Sofie, van der Leer, Jorien, Mutsaers, Joline, van Nunen, Thérèse, Reinders, Marjon, Schuengel, Inge, Smits, Julia, Hagelaar, Els, van Gruijthuijsen, Dave, Bluemink, Hanneke, Hurkmans, Coen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205480/
https://www.ncbi.nlm.nih.gov/pubmed/37229460
http://dx.doi.org/10.1016/j.tipsro.2023.100211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205480/
https://www.ncbi.nlm.nih.gov/pubmed/37229460
http://dx.doi.org/10.1016/j.tipsro.2023.100211

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