Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients

Background and purpose: In head and neck squamous cell carcinoma (HNSCC) patients, the radiation dose to nearby organs at risk can be reduced by restricting elective neck irradiation from lymph node levels to individual lymph nodes. However, manual delineation of every individual lymph node is time-...

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Autores principales:	Floris C.J. Reinders, Mark H.F. Savenije, Mischa de Ridder, Matteo Maspero, Patricia A.H. Doornaert, Chris H.J. Terhaard, Cornelis P.J. Raaijmakers, Kaveh Zakeri, Nancy Y. Lee, Eric Aliotta, Aneesh Rangnekar, Harini Veeraraghavan, Marielle E.P. Philippens
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2024-10-01
Colección:	Physics and Imaging in Radiation Oncology
Materias:	Deep learning Artificial intelligence Lymph nodes Magnetic resonance imaging Radiotherapy Squamous cell carcinoma of head and neck
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2405631624001258
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