Clinical evaluation of deep learning and atlas‐based auto‐segmentation for critical organs at risk in radiation therapy

INTRODUCTION: Contouring organs at risk (OARs) is a time‐intensive task that is a critical part of radiation therapy. Atlas‐based automatic segmentation has shown some success at reducing this time burden on practitioners; however, this method often requires significant manual editing to reach a cli...

Descripción completa

Detalles Bibliográficos
Autores principales: Gibbons, Eddie, Hoffmann, Matthew, Westhuyzen, Justin, Hodgson, Andrew, Chick, Brendan, Last, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122925/
https://www.ncbi.nlm.nih.gov/pubmed/36148621
http://dx.doi.org/10.1002/jmrs.618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122925/
https://www.ncbi.nlm.nih.gov/pubmed/36148621
http://dx.doi.org/10.1002/jmrs.618

Ejemplares similares