SU‐E‐T‐463: Quantification of Rotational Variation in Mouse Setup for IGRT
Rachel McCarroll(The University of Texas MD Anderson Cancer Center), Laurence E. Court(The University of Texas MD Anderson Cancer Center), Pei Yang(The University of Texas MD Anderson Cancer Center), C Kingsley(The University of Texas MD Anderson Cancer Center), Ashley Rubinstein(The Graduate Center, CUNY), Jinzhong Yang(Chinese Research Academy of Environmental Sciences)
Cited by 0
Related Papers
Dose to Larynx Predicts for Swallowing Complications After Intensity-Modulated Radiotherapy
|International Journal of Radiation Oncology*Biology*Physics|2008|230
Spatial Precision in Magnetic Resonance Imaging–Guided Radiation Therapy: The Role of Geometric Distortion
|International Journal of Radiation Oncology*Biology*Physics|2016|163
Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function
|International Journal of Radiation Oncology*Biology*Physics|2018|154
Automatic detection of contouring errors using convolutional neural networks
|Medical Physics|2019|103
Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach
|International Journal of Radiation Oncology*Biology*Physics|2020|79