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

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57f95589d1871626db64cd8c8ce4722d

Improving radiotherapy planning for large volume lung cancer: A dosimetric comparison between hybrid-IMRT and RapidArc.

Autor: Blom, Gerrit J.¹, Verbakel, Wilko F. A. R.¹, Dahele, Max¹, Hoffmans, Daan¹, Slotman, Ben J.¹, Senan, Suresh¹

Publikováno v: Acta Oncologica. Mar2015, Vol. 54 Issue 3, p427-432. 6p. 2 Charts, 2 Graphs.