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Impact of Image Context on Deep Learning for Classification of Teeth on Radiographs
Objectives: We aimed to assess the impact of image context information on the accuracy of deep learning models for tooth classification on panoramic dental radiographs. Methods: Our dataset contained 5008 panoramic radiographs with a mean number of 25.2 teeth per image. Teeth were segmented bounding...
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| Pubblicato in: | J Clin Med |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8068972/ https://ncbi.nlm.nih.gov/pubmed/33921440 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10081635 |
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