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Using a convolutional neural network for human recognition in a staff dose management software for fluoroscopic interventional procedures
Staff dose management is a continuing concern in fluoroscopically-guided interventional (FGI) procedures. Being unaware of radiation scatter levels can lead to unnecessarily high stochastic and deterministic risks due to the effects of absorbed dose by staff members. Our group has developed a scatte...
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| Опубликовано в: : | Proc SPIE Int Soc Opt Eng |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7963405/ https://ncbi.nlm.nih.gov/pubmed/33731972 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2580727 |
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