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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...

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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

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