Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach

PURPOSE: To develop a deep learning model that generates consistent, high-quality lymph node clinical target volumes (CTV) contours for head and neck cancer (HNC) patients, as an integral part of a fully automated radiation treatment planning workflow. METHODS AND MATERIALS: Computed tomography (CT)...

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Detalles Bibliográficos
Autores principales: Cardenas, Carlos E., Beadle, Beth M., Garden, Adam S., Skinner, Heath D., Yang, Jinzhong, Joo Rhee, Dong, McCarroll, Rachel E., Netherton, Tucker J., Gay, Skylar S., Zhang, Lifei, Court, Laurence E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472456/
https://www.ncbi.nlm.nih.gov/pubmed/33068690
http://dx.doi.org/10.1016/j.ijrobp.2020.10.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472456/
https://www.ncbi.nlm.nih.gov/pubmed/33068690
http://dx.doi.org/10.1016/j.ijrobp.2020.10.005

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