Dental age estimation using the pulp-to-tooth ratio in canines by neural networks-Reference-Cited by-同舟云学术

Dental age estimation using the pulp-to-tooth ratio in canines by neural networks

Published:2019 Issue:1 Volume:49 Page:19
ISSN:2233-7822
Container-title:Imaging Science in Dentistry
language:en
Short-container-title:Imaging Sci Dent

Author:

Farhadian Maryam¹^ORCID,Salemi Fatemeh²^ORCID,Saati Samira²^ORCID,Nafisi Nika²^ORCID

Affiliation:

1. Department of Biostatistics, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.

2. Department of Oral and Maxillofacial Radiology, Dental School, Hamadan University of Medical Sciences, Hamadan, Iran.

Publisher

Korean Academy of Oral and Maxillofacial Radiology

Subject

Radiology Nuclear Medicine and imaging,General Dentistry,Radiological and Ultrasound Technology

Link

https://synapse.koreamed.org/pdf/10.5624/isd.2019.49.1.19

Cited by 43 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. Artificial intelligence in dentistry — A scoping review;Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology;2024-07

2. Artificial Intelligence in Adult and Pediatric Dentistry: A Narrative Review;Bioengineering;2024-04-27

3. Sex and stature estimation from anthropometric measurements of the foot: linear analyses and neural network approach on a Turkish sample;Egyptian Journal of Forensic Sciences;2024-04-19

4. Advancements in Dental Age Estimation: A Comprehensive Review of Convolutional Neural Networks and Ethical Considerations;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

5. Applying artificial intelligence to determination of legal age of majority from radiographic data;Morphologie;2024-03