Exploring the role of convolutional neural networks (CNN) in dental radiography segmentation: a comprehensive systematic literature review

W Brahmi, I Jdey, F Drira - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In dentistry, there is a growing need for accurate diagnostic tools, particularly advanced
imaging techniques such as Computed Tomography (CT), Cone Beam Computed …

[HTML][HTML] A novel technique for dental radiographic image segmentation based on neutrosophic logic

S Datta, N Chaki, B Modak - Decision Analytics Journal, 2023 - Elsevier
Oral diseases are very prevalent worldwide and affect people of all ages. Dentists depend
on x-rays to study the characteristics of oral diseases. The segmentation and analysis of …

Deep learning neural network performance on NDT digital X-ray radiography images: Analyzing the impact of image quality parameters—an experimental study

B Hena, Z Wei, CI Castanedo, X Maldague - Sensors, 2023 - mdpi.com
In response to the growing inspection demand exerted by process automation in component
manufacturing, non-destructive testing (NDT) continues to explore automated approaches …

[HTML][HTML] Exploring the Applications of Artificial Intelligence in Dental Image Detection: A Systematic Review

SS Alharbi, HF Alhasson - Diagnostics, 2024 - pmc.ncbi.nlm.nih.gov
Background: Dental care has been transformed by neural networks, introducing advanced
methods for improving patient outcomes. By leveraging technological innovation, dental …

[HTML][HTML] Revolutionizing dental caries diagnosis through artificial intelligence

S Anil, K Sudeep, S Saratchandran… - … Caries Perspectives-A …, 2023 - intechopen.com
The diagnosis and management of dental caries, a prevalent global oral health issue, have
traditionally depended on clinical examination and the interpretation of radiographic images …

[PDF][PDF] Image segmentation of impacted mesiodens using deep learning.

H Kim, JS Song, TJ Shin, YJ Kim, JW Kim… - Journal of Clinical …, 2024 - oss.jocpd.com
This study aimed to evaluate the performance of deep learning algorithms for the
classification and segmentation of impacted mesiodens in pediatric panoramic radiographs …

Enhancing dental diagnostics: Advanced image segmentation models for teeth identification and enumeration

M Ali, M Hassan, E Kosan, JQ Gan, A Chaurasia… - Annual Conference on …, 2024 - Springer
With recent advancements in Artificial Intelligence (AI) influencing various medical fields,
dentistry faces several challenges. Among these challenges, accurate tooth counting and …

[PDF][PDF] Automatic Teeth Segmentation Using Attention U-Net

AMH Mahran, W Hussein, SEDM Saber - 2023 - preprints.org
Teeth segmentation plays a pivotal role in dental diagnosis, treatment, planning, and the
development of computer-aided dental systems. It enables precise identification and …

Deep learning to detect and classifY teeth, dental caries and restorations: A systematic map**

JA Carneiro, BG Zancan, C Tirapelli, AA Macedo - 2023 - researchsquare.com
Purpose: Oral health is an indicator of individuals' health and quality of life. Consequently, it
is a concerning topic faced everyday by healthcare professionals. X-ray images are …

Deep learning to support the detection and classification of teeth, dental caries and restorations: a review

JA Carneiro, BAG Zancan… - Brazilian Journal of …, 2024 - ojs.brazilianjournals.com.br
Oral health serves as a crucial indicator of individuals' overall well-being and quality of life,
making it a pertinent concern regularly addressed by healthcare professionals. Utilizing …