Comparison of the output of a deep learning segmentation model for locoregional breast cancer radiotherapy trained on 2 different datasets

INTRODUCTION: The development of deep learning (DL) models for auto-segmentation is increasing and more models become commercially available. Mostly, commercial models are trained on external data. To study the effect of using a model trained on external data, compared to the same model trained on i...

Descripción completa

Detalles Bibliográficos
Autores principales: Bakx, Nienke, van der Sangen, Maurice, Theuws, Jacqueline, 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/PMC10199413/
https://www.ncbi.nlm.nih.gov/pubmed/37213441
http://dx.doi.org/10.1016/j.tipsro.2023.100209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199413/
https://www.ncbi.nlm.nih.gov/pubmed/37213441
http://dx.doi.org/10.1016/j.tipsro.2023.100209

Ejemplares similares