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Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study

Convolutional neural networks (CNNs), a particular type of deep learning architecture, are positioned to become one of the most transformative technologies for medical applications. The aim of the current study was to evaluate the efficacy of deep CNN algorithm for the identification and classificat...

詳細記述

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書誌詳細
出版年:Medicine (Baltimore)
主要な著者: Lee, Jae-Hong, Jeong, Seong-Nyum
フォーマット: Artigo
言語:Inglês
出版事項: Wolters Kluwer Health 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7328970/
https://ncbi.nlm.nih.gov/pubmed/32590758
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000020787
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