Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy

Author:

Wei Zixiang,Ren Jintao,Korreman Stine Sofia,Nijkamp Jasper

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Radiation

Reference29 articles.

1. Comprehensive quantitative evaluation of variability in magnetic resonance-guided delineation of oropharyngeal gross tumor volumes and high-risk clinical target volumes: an R-IDEAL stage 0 prospective study;Cardenas;Int J Radiat Oncol,2022

2. Tumor delineation: the weakest link in the search for accuracy in radiotherapy;Njeh;J Med Phys Assoc Med Phys India,2008

3. Intra- and inter-physician variability in target volume delineation in radiation therapy;Das;J Radiat Res (Tokyo),2021

4. Deep learning for segmentation in radiation therapy planning: a review;Samarasinghe;J Med Imaging Radiat Oncol,2021

5. Evaluation of segmentation methods on head and neck CT: auto-segmentation challenge 2015;Raudaschl;Med Phys,2017

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