Clinically applicable artificial intelligence system for dental diagnosis with CBCT
In this study, a novel AI system based on deep learning methods was evaluated to
determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks …
determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks …
Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans
Aim To verify the diagnostic performance of an artificial intelligence system based on the
deep convolutional neural network method to detect periapical pathosis on cone‐beam …
deep convolutional neural network method to detect periapical pathosis on cone‐beam …
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
Objective: This study evaluated the use of a deep-learning approach for automated
detection and numbering of deciduous teeth in children as depicted on panoramic …
detection and numbering of deciduous teeth in children as depicted on panoramic …
AU‐net approach to apical lesion segmentation on panoramic radiographs
The purpose of the paper was the assessment of the success of an artificial intelligence (AI)
algorithm formed on a deep‐convolutional neural network (D‐CNN) model for the …
algorithm formed on a deep‐convolutional neural network (D‐CNN) model for the …
Numbering and classification of panoramic dental images using 6-layer convolutional neural network
P Singh, P Sehgal - Pattern Recognition and Image Analysis, 2020 - Springer
Abstract Deep Convolution Neural Network is one of the most powerful tools to solve
complex problems of image classification, image recognition, financial analysis, medical …
complex problems of image classification, image recognition, financial analysis, medical …
Development and validation of a cbct-based artificial intelligence system for accurate diagnoses of dental diseases
Cone-beam computed tomography (CBCT) in dental practice is becoming increasingly
popular. However, the correct teeth identification, positioning and diagnosis based on CBCT …
popular. However, the correct teeth identification, positioning and diagnosis based on CBCT …
An efficient method to automate tooth identification and 3D bounding box extraction from Cone Beam CT Images
IG Botella, IA Águeda, JCA Carmona… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate identification, localization, and segregation of teeth from Cone Beam Computed
Tomography (CBCT) images are essential for analyzing dental pathologies. Modeling an …
Tomography (CBCT) images are essential for analyzing dental pathologies. Modeling an …
[PDF][PDF] Research Article A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs
The purpose of the paper was the assessment of the success of an artificial intelligence (AI)
algorithm formed on a deepconvolutional neural network (D-CNN) model for the …
algorithm formed on a deepconvolutional neural network (D-CNN) model for the …