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...

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Bibliographic Details
Published in:Br J Radiol
Main Authors: Takahashi, Wataru, Oshikawa, Shota, Mori, Shinichiro
Format: Artigo
Language:Inglês
Published: The British Institute of Radiology. 2020
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Online Access: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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