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DOE OSTI · 23198639

Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer

Rigaud, Bastien·Anderson, Brian M.·Yu, Zhiqian H.·Gobeli, Maxime·Cazoulat, Guillaume·others, and
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Abstract

This study investigated deep learning models for automatic segmentation to support the development of daily online dose optimization strategies, eliminating the need for internal target volume expansions and thereby reducing toxicity events of intensity modulated radiation therapy for cervical cancer.

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62 RADIOLOGY AND NUCLEAR MEDICINEMACHINE LEARNINGNEOPLASMSOPTIMIZATIONRADIOTHERAPYTOXICITY

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Rigaud, Bastien, Anderson, Brian M., Yu, Zhiqian H., Gobeli, Maxime, Cazoulat, Guillaume, others, and. 2021-03-15. Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer. https://doi.org/10.1016/j.ijrobp.2020.10.038

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