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Deep learning for intelligent diagnosis in thyroid scintigraphy
OBJECTIVE: To construct deep learning (DL) models to improve the accuracy and efficiency of thyroid disease diagnosis by thyroid scintigraphy. METHODS: We constructed DL models with AlexNet, VGGNet, and ResNet. The models were trained separately with transfer learning. We measured each model’s perfo...
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| Publicado no: | J Int Med Res |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7812409/ https://ncbi.nlm.nih.gov/pubmed/33445994 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0300060520982842 |
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