Description :
Description: This research aims to develop a virtual linac machine model for the Ethos system utilizing Machine Learning techniques for application in Patient-Specific Quality Assurance (PSQA) during the Online Adaptive Radiotherapy (ART) process. The model is constructed using historical machine log files to generate virtual log files directly from the treatment plan, eliminating the need for actual radiation measurements. This approach plays a significant role in effectively enhancing quality control and patient safety within the online ART workflow.
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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