Technical Note: 3D localization of lung tumors on cone beam CT projections via a convolutional recurrent neural network

PURPOSE: To design a convolutional recurrent neural network (CRNN) that calculates 3D positions of lung tumors from continuously acquired cone beam CT (CBCT) projections, and facilitates the sorting and reconstruction of 4D-CBCT images. METHOD: Under an IRB-approved clinical lung protocol, kilovolta...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Wang, Chuang, Hunt, Margie, Zhang, Lei, Rimner, Andreas, Yorke, Ellen, Lovelock, Michael, Li, Xiang, Li, Tianfang, Mageras, Gig, Zhang, Pengpeng
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7067648/
https://ncbi.nlm.nih.gov/pubmed/31899807
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14007
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