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Exploring the role of convolutional neural networks (CNN) in dental radiography segmentation: a comprehensive systematic literature review
In dentistry, there is a growing need for accurate diagnostic tools, particularly advanced
imaging techniques such as Computed Tomography (CT), Cone Beam Computed …
imaging techniques such as Computed Tomography (CT), Cone Beam Computed …
[HTML][HTML] A novel technique for dental radiographic image segmentation based on neutrosophic logic
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 …
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
In response to the growing inspection demand exerted by process automation in component
manufacturing, non-destructive testing (NDT) continues to explore automated approaches …
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
Background: Dental care has been transformed by neural networks, introducing advanced
methods for improving patient outcomes. By leveraging technological innovation, dental …
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 …
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 …
classification and segmentation of impacted mesiodens in pediatric panoramic radiographs …
Enhancing dental diagnostics: Advanced image segmentation models for teeth identification and enumeration
With recent advancements in Artificial Intelligence (AI) influencing various medical fields,
dentistry faces several challenges. Among these challenges, accurate tooth counting and …
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 …
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**
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 …
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 …
making it a pertinent concern regularly addressed by healthcare professionals. Utilizing …