Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience

Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning

Jordan Wong, Allan Fong, Nevin McVicar et al. · Radiotherapy and Oncology · 2019 · 241 citations

Medicine, Oncology, Radiation Oncology +17

Clinical Validation of Atlas-Based Auto-Segmentation of Multiple Target Volumes and Normal Tissue (Swallowing/Mastication) Structures in the Head and Neck

David N. Teguh, Peter C. Levendag, P. Voet et al. · International Journal of Radiation Oncology*Biology*Physics · 2010 · 205 citations

Medicine, Anatomy, Otolaryngology +17

Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer

M. La Macchia, F. Fellin, Maurizio Amichetti et al. · Radiation Oncology · 2012 · 173 citations · Full text

Medicine, Radiation Oncology, Radiology +17

Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning

Kuo Men, Tao Zhang, Xinyuan Chen et al. · Physica Medica · 2018 · 160 citations

Medicine, Oncology, Radiation Oncology +17

Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context

A. Isambert, F. Dhermain, François Bidault et al. · Radiotherapy and Oncology · 2008 · 158 citations

Medicine, Radiation Oncology, Radiology +16