Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy

BACKGROUND AND PURPOSE: Reducing trismus in radiotherapy for head and neck cancer (HNC) is important. Automated deep learning (DL) segmentation and automated planning was used to introduce new and rarely segmented masticatory structures to study if trismus risk could be decreased. MATERIALS AND METH...

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Detalles Bibliográficos
Autores principales: Thor, Maria, Iyer, Aditi, Jiang, Jue, Apte, Aditya, Veeraraghavan, Harini, Allgood, Natasha B., Kouri, Jennifer A., Zhou, Ying, LoCastro, Eve, Elguindi, Sharif, Hong, Linda, Hunt, Margie, Cerviño, Laura, Aristophanous, Michalis, Zarepisheh, Masoud, Deasy, Joseph O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552336/
https://www.ncbi.nlm.nih.gov/pubmed/34746452
http://dx.doi.org/10.1016/j.phro.2021.07.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552336/
https://www.ncbi.nlm.nih.gov/pubmed/34746452
http://dx.doi.org/10.1016/j.phro.2021.07.009

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