ทรัพยากร :
Description :
This research aims to develop a novel predictive quality assurance (QA) system for ring gantry linear accelerators (LINAC) by integrating machine performance monitoring (MPC) data, statistical process control (SPC), and deep learning techniques. The study developed a hybrid architecture combining a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) to predict machine performance trends and establish control limits for predictive maintenance. This approach demonstrates significant potential in enhancing LINAC reliability and effectively minimizing unscheduled clinical downtime.
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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