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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...

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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

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