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Adaptive Weighted Log Subtraction based on Neural Networks for Markerless Tumor Tracking using Dual-Energy Fluoroscopy

PURPOSE: To present a novel method, based on convolution neural networks (CNN), to automate weighted log subtraction (WLS) for dual-energy (DE) fluoroscopy to be used in conjunction with markerless tumor tracking (MTT). METHODS: A CNN was developed to automate WLS (aWLS) of DE fluoroscopy to enhance...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Haytmyradov, Maksat, Mostafavi, Hassan, Cassetta, Roberto, Patel, Rakesh, Surucu, Murat, Zhu, Liangjia, Roeske, John C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7015793/
https://ncbi.nlm.nih.gov/pubmed/31797397
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13941
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