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Real-time markerless tumour tracking with patient-specific deep learning using a personalised data generation strategy: proof of concept by phantom study
OBJECTIVE: For real-time markerless tumour tracking in stereotactic lung radiotherapy, we propose a different approach which uses patient-specific deep learning (DL) using a personalised data generation strategy, avoiding the need for collection of a large patient data set. We validated our strategy...
Gorde:
| Argitaratua izan da: | Br J Radiol |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
The British Institute of Radiology.
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7217583/ https://ncbi.nlm.nih.gov/pubmed/32101456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20190420 |
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