Design and Development of Deep Learning Approach for Dental Implant Planning-Reference-Cited by-同舟云学术

Design and Development of Deep Learning Approach for Dental Implant Planning

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST)
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Author:

Bodhe Rushikesh¹,Sivakumar Saaveethya²,Raghuwanshi Ayush¹

Affiliation:

1. S. B. Jain Institute of Technology, Management and Research,Department of Information Technology,Nagpur,India

2. Curtin University,Department of Electrical and Computer Engineering,Miri,Sarawak,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009903/10009920/10010527.pdf?arnumber=10010527

Reference16 articles.

1. A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films;chen;Scientific Reports,2019

2. Accuracy of linear measurements using dental cone beam and conventional multislice computed tomography

3. A MapReduce-like Deep Learning Model for the Depth Estimation of Periodontal Pockets

4. Tooth detection and numbering in panoramic radiographs using convolutional neural networks

5. Retrospective assessment of dental implant-related perforations of relevant anatomical structures and inadequate spacing between implants/teeth using cone-beam computed tomography

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1. Deep learning-based approach for 3D bone segmentation and prediction of missing tooth region for dental implant planning;Scientific Reports;2024-06-16

2. Comprehensive study & Innovative trends in dentistry along with variations;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07

3. Automatic planning of maxillary anterior dental implant based on prosthetically guided and pose evaluation indicator;International Journal of Computer Assisted Radiology and Surgery;2024-05-13

4. Artificial intelligence serving pre-surgical digital implant planning: A scoping review;Journal of Dentistry;2024-04