RapidPlan knowledge based planning: iterative learning process and model ability to steer planning strategies

PURPOSE: To determine if the performance of a knowledge based RapidPlan (RP) planning model could be improved with an iterative learning process, i.e. if plans generated by an RP model could be used as new input to re-train the model and achieve better performance. METHODS: Clinical VMAT plans from...

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Bibliografiset tiedot
Julkaisussa:Radiat Oncol
Päätekijät: Fogliata, A., Cozzi, L., Reggiori, G., Stravato, A., Lobefalo, F., Franzese, C., Franceschini, D., Tomatis, S., Scorsetti, M.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2019
Aiheet:
Research
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6822368/
https://ncbi.nlm.nih.gov/pubmed/31666094
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-019-1403-0
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