Download Automatic Inverse Treatment Planning For Gamma Knife Radiosurgery Via Deep Reinforcement Learning PDF Free - Full Version
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About Automatic Inverse Treatment Planning For Gamma Knife Radiosurgery Via Deep Reinforcement Learning
1) The document describes a deep reinforcement learning method to automate priority tuning for Gamma Knife radiosurgery treatment planning. 2) A priority tuning policy network was developed using convolutional neural networks to determine the best action to improve plan quality based on input plan metrics. 3) The network was trained using deep reinforcement learning and achieved Gamma Knife plans of comparable or slightly better quality than manual tuning by experts for vestibular schwannoma cases.
Detailed Information
| Author: | ['tu'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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