Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer Radiotherapy.

Strijbis, Victor I J; Dahele, Max; Gurney-Champion, Oliver J; Blom, Gerrit J; Vergeer, Marije R; Slotman, Berend J; Verbakel, Wilko F A R

Strijbis, Victor I J; Dahele, Max; Gurney-Champion, Oliver J; Blom, Gerrit J; Vergeer, Marije R; Slotman, Berend J; Verbakel, Wilko F A R.

Afiliação

Strijbis VIJ; Department of Radiation Oncology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.
Dahele M; Cancer Center Amsterdam, Cancer Treatment and Quality of Life, 1081 HV Amsterdam, The Netherlands.
Gurney-Champion OJ; Department of Radiation Oncology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.
Blom GJ; Cancer Center Amsterdam, Cancer Treatment and Quality of Life, 1081 HV Amsterdam, The Netherlands.
Vergeer MR; Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Slotman BJ; Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands.
Verbakel WFAR; Department of Radiation Oncology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.

Cancers (Basel) ; 14(22)2022 Nov 09.

Article em En | MEDLINE | ID: mdl-36428593

Palavras-chave

auto-contouring; computed tomography; deep learning; head-and-neck cancer; lymph nodes; radiation oncology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

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