Artificial intelligence based auto-contouring solutions for use in radiotherapy treatment planning of head and neck cancer

Author:

Marin Anaya VirginiaORCID

Funder

National Institute for Health and Care Research

Publisher

Elsevier BV

Reference29 articles.

1. Cancer Research UK. Head and neck cancers incidence. Available at https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/head-and-neck-cancers#heading-Zero (accessed April 2023).

2. Machine learning for auto-segmentation in radiotherapy planning;Harrison;Clin. Oncol.,2022

3. Anatomical and dose changes of gross tumour volume and parotid glands for head and neck cancer patients during intensity-modulated radiotherapy: effect on the probability of xerostomia incidence;Marzi;Clin. Oncol. (R. Coll. Radiol.),2012

4. Co-registration of cone beam CT and planning CT in head and neck IMRT dose estimation: a feasible adaptive radiotherapy strategy;Yip;Br. J. Radiol.,2014

5. Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system;Barker;Int. J. Radiat. Oncol. Biol. Phys.,2004

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