Automated Analysis of Tooth Anatomy and Pathological Conditions from Orthopantomogram using Deep Neural Networks-Reference-Cited by-同舟云学术

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Automated Analysis of Tooth Anatomy and Pathological Conditions from Orthopantomogram using Deep Neural Networks

Published:2024-08-07 Issue: Volume: Page:1-12
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Sheryl Abraham Tuhina¹^ORCID,Jeyakumar Vijay¹^ORCID,Marthi Krishna Kumar Gurucharan²^ORCID,Abraham Anandapandian Ponsekar³^ORCID

Affiliation:

1. Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai (OMR), Chennai, Tamil Nadu 603110, India

2. Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, Canada

3. Department of Prosthodontics, Thai Moogambigai Dental College and Hospital, Chennai, Tamil Nadu 600107, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2385044

Reference37 articles.

1. Identification of dental implants using deep learning—pilot study

2. Artificial intelligence in medicine

3. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

4. O. Ronneberger P. Fischer and T. Brox “U-net: Convolutional networks for biomedical image segmentation ” in Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference Munich Germany: Springer International Publishing Oct. 5–9 2015 Proceedings Part III 18 pp. 234–241.

5. Denoised encoder-based residual U-net for precise teeth image segmentation and damage prediction on panoramic radiographs

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