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A convolutional neural network-based system to prevent patient misidentification in FDG-PET examinations
Patient misidentification in imaging examinations has become a serious problem in clinical settings. Such misidentification could be prevented if patient characteristics such as sex, age, and body weight could be predicted based on an image of the patient, with an alert issued when a mismatch betwee...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6510755/ https://ncbi.nlm.nih.gov/pubmed/31076620 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-43656-y |
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