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A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis

  • Published:2023-12 Issue: Volume:4 Page:100282
  • ISSN:2772-4425
  • Container-title:Healthcare Analytics
  • language:en
  • Short-container-title:Healthcare Analytics

Author:

Bhat Suvarna,Birajdar Gajanan K.,Patil Mukesh D.

Publisher

Elsevier BV

Subject

Health Informatics,Analytical Chemistry

Reference114 articles.

1. Artificial intelligence in dentistry: chances and challenges;Schwendicke;J. Dent. Res.,2020

2. Use of artificial intelligence in dentistry: Current clinical trends and research advances;Nguyen;J. Can Dent. Assoc.,2021

3. Recent advances in imaging technologies in dentistry;Shah;World J. Radiol.,2014

4. Evaluation of current dental radiographs segmentation approaches in computer-aided applications;Rad;IETE Tech. Rev.,2013

5. A review on dental radiographic images;Solanki1;Int. J. Eng. Res. Appl.,2017

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2. Pediatric oral health detection using Swin transformer;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

3. Study on Detecting the Teeth and Classifying the Teeth Structure using Machine Learning and CNN;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. H-FCBFormer: Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper;Lecture Notes in Computer Science;2024
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