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Publikováno v: Cancers; Volume 14; Issue 22; Pages: 5501
Cancers, 14(22):5501. Multidisciplinary Digital Publishing Institute (MDPI)
Strijbis, V I J, Dahele, M, Gurney-Champion, O J, Blom, G J, Vergeer, M R, Slotman, B J & Verbakel, W F A R 2022, ' Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer Radiotherapy ', Cancers, vol. 14, no. 22, 5501 . https://doi.org/10.3390/cancers14225501

Depending on the clinical situation, different combinations of lymph node (LN) levels define the elective LN target volume in head-and-neck cancer (HNC) radiotherapy. The accurate auto-contouring of individual LN levels could reduce the burden and va

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Ipsilateral Irradiation for Oral and Oropharyngeal Carcinoma Treated With Primary Surgery and Postoperative Radiotherapy

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