Description :
This research aims to develop a deep learning model using a Generative Adversarial Network (GAN) to predict 3D dose distributions in Volumetric Modulated Arc Therapy (VMAT) planning for prostate cancer patients, relying solely on patient CT images. The application of this model effectively reduces the time-consuming processes of organ structure contouring and dose calculation, enabling rapid and highly efficient processing for dose predictions.
Details :
ISBN :
-
245 - Title statement
020 - International standard book number
100 - Main entry--personal name
250 - Edition statement
300 - Physical description
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