Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy

BACKGROUND AND PURPOSE: With deep-learning, gross tumour volume (GTV) auto-segmentation has substantially been improved, but still substantial manual corrections are needed. With interactive deep-learning (iDL), manual corrections can be used to update a deep-learning tool while delineating, minimis...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Zixiang, Ren, Jintao, Korreman, Stine Sofia, Nijkamp, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841279/
https://www.ncbi.nlm.nih.gov/pubmed/36655215
http://dx.doi.org/10.1016/j.phro.2022.12.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841279/
https://www.ncbi.nlm.nih.gov/pubmed/36655215
http://dx.doi.org/10.1016/j.phro.2022.12.005

Ejemplares similares