Deep learning: a primer for dentists and dental researchers
Objectives Despite deep learning's wide adoption in dental artificial intelligence (AI)
research, researchers from other dental fields and, more so, dental professionals may find it …
research, researchers from other dental fields and, more so, dental professionals may find it …
[HTML][HTML] A comprehensive review of recent advances in artificial intelligence for dentistry e-health
Artificial intelligence has made substantial progress in medicine. Automated dental imaging
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …
[HTML][HTML] Deep learning based detection tool for impacted mandibular third molar teeth
ME Celik - Diagnostics, 2022 - mdpi.com
Third molar impacted teeth are a common issue with all ages, possibly causing tooth decay,
root resorption, and pain. This study was aimed at developing a computer-assisted detection …
root resorption, and pain. This study was aimed at developing a computer-assisted detection …
Chatcad+: Towards a universal and reliable interactive cad using llms
The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs)
presents a promising frontier in clinical applications, notably in automating diagnostic …
presents a promising frontier in clinical applications, notably in automating diagnostic …
The role of deep learning for periapical lesion detection on panoramic radiographs
B Çelik, EF Savaştaer, HI Kaya… - Dentomaxillofacial …, 2023 - academic.oup.com
Objective: This work aimed to detect automatically periapical lesion on panoramic
radiographs (PRs) using deep learning. Methods: 454 objects in 357 PRs were anonymized …
radiographs (PRs) using deep learning. Methods: 454 objects in 357 PRs were anonymized …
[HTML][HTML] A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis
The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …
resulted in many applications like automatic teeth identification and numbering, caries …
[HTML][HTML] Deep learning-based multiclass instance segmentation for dental lesion detection
Automated dental imaging interpretation is one of the most prolific areas of research using
artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental …
artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental …
Diffusion-based hierarchical multi-label object detection to analyze panoramic dental x-rays
Due to the necessity for precise treatment planning, the use of panoramic X-rays to identify
different dental diseases has tremendously increased. Although numerous ML models have …
different dental diseases has tremendously increased. Although numerous ML models have …
[HTML][HTML] Teeth segmentation in panoramic dental X-ray using mask regional convolutional neural network
Featured Application Convolutional Neural Network (CNN) models are capable of learning
complex patterns and features from images. An automatic teeth segmentation CNN model …
complex patterns and features from images. An automatic teeth segmentation CNN model …
[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 …