Deep learning-based quantitative analysis of dental caries using optical coherence tomography: an ex vivo study

Author:

Salehi Hassan S.,Mahdian Mina,Murshid Mohammad M.,Judex Stefan,Tadinada Aditya

Publisher

SPIE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dental Caries Classification with Deep CNN on X-Ray Images;2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON);2023-12-05

2. Deep learning for caries detection: A systematic review;Journal of Dentistry;2022-07

3. Comparison of deep convolutional neural network models with OCT images for dental caries classification;Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging;2022-04-04

4. An Effective Approach for Classification of Dental Caries using Convolutional Neural Networks;2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART);2021-12-10

5. Hierarchical CNN-based occlusal surface morphology analysis for classifying posterior tooth type using augmented images from 3D dental surface models;Computer Methods and Programs in Biomedicine;2021-09

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