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Deep Learning for Caries Detection by MILLER FRANKLIN ROMERO AGUILAR is a document available to read on EtoBox.

What is Deep Learning for Caries Detection about?

This study evaluates a deep learning algorithm for detecting dental caries through tooth surface segmentation in intraoral photographic images. Using a dataset of 2348 images, the convolutional neural networks (CNN) improved classification accuracy and localization of carious lesions significantly. The findings suggest that this method could serve as a time and cost-effective diagnostic aid in dental practices.

Author

MILLER FRANKLIN ROMERO AGUILAR

Language

EN