Deep learning–based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers
Medical Physics2023Vol. 50(11), pp. 6639–6648
Citations Over TimeTop 10% of 2023 papers
Mary Gronberg, Anuja Jhingran, Tucker Netherton, Skylar Gay, Carlos Cárdenas, Caroline Chung, David Fuentes, Clifton D. Fuller, Rebecca M. Howell, Meena Khan, Tze Yee Lim, Barbara Marquez, Adenike Olanrewaju, Christine B. Peterson, Ivan Vazquez, Thomas J. Whitaker, Zachary Wooten, Ming Yang, Laurence E. Court
Abstract
Deep-learning dose prediction can be used to predict high-quality and clinically acceptable dose distributions for VMAT female pelvis plans, which can then be used to identify plans that can be improved with additional optimization.
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