Classification of caries in third molars on panoramic radiographs using deep learning
Abstract The objective of this study is to assess the classification accuracy of dental caries on panoramic radiographs using deep-learning algorithms. A convolutional neural network (CNN) was trained on a reference data set consisted of 400 cropped panoramic images in the classification of carious...
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Auteurs principaux: | , , , , , , , |
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Format: | article |
Langue: | EN |
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Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/caeb7548de31431a93e364bae1311e86 |
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