Invention Grant
- Patent Title: Methods and systems for radiotherapy treatment planning based on continuous deep learning
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Application No.: US16432943Application Date: 2019-06-06
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Publication No.: US11410766B2Publication Date: 2022-08-09
- Inventor: Jan Schreier , Hannu Laaksonen , Heini Hyvonen
- Applicant: Varian Medical Systems International AG
- Applicant Address: US CA Palo Alto
- Assignee: Varian Medical Systems International AG
- Current Assignee: Varian Medical Systems International AG
- Current Assignee Address: US CA Palo Alto
- Agency: Su IP Consulting
- Main IPC: G16H20/40
- IPC: G16H20/40 ; G16H50/20 ; G16H30/40

Abstract:
Example methods and systems for radiotherapy treatment planning based on continuous deep learning are provided. One example method may comprise: obtaining a deep learning engine that is trained to perform a radiotherapy treatment planning task based on first training data associated with a first planning rule. The method may also comprise: based on input data associated with a particular patient, performing the radiotherapy treatment planning task using the deep learning engine to generate output data associated with the particular patient; and obtaining modified output data that includes one or more modifications to the output data generated by the deep learning engine. The method may further comprise: based on the modified output data, generating second training data associated with a second planning rule; and generating a modified deep learning engine by re-training the deep learning engine using a combination of the first training data and the second training data.
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