A review on the use of deep learning for medical images segmentation
Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …
images. They have been used extensively for medical image segmentation as the first and …
Current applications and development of artificial intelligence for digital dental radiography
In the last few years, artificial intelligence (AI) research has been rapidly develo** and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …
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 …
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films
H Chen, K Zhang, P Lyu, H Li, L Zhang, J Wu… - Scientific reports, 2019 - nature.com
We propose using faster regions with convolutional neural network features (faster R-CNN)
in the TensorFlow tool package to detect and number teeth in dental periapical films. To …
in the TensorFlow tool package to detect and number teeth in dental periapical films. To …
Deep learning hybrid method to automatically diagnose periodontal bone loss and stage periodontitis
We developed an automatic method for staging periodontitis on dental panoramic
radiographs using the deep learning hybrid method. A novel hybrid framework was …
radiographs using the deep learning hybrid method. A novel hybrid framework was …
Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs
AF Leite, AV Gerven, H Willems, T Beznik… - Clinical oral …, 2021 - Springer
Objective To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth
detection and segmentation on panoramic radiographs. Materials and methods In total, 153 …
detection and segmentation on panoramic radiographs. Materials and methods In total, 153 …
Tufts dental database: a multimodal panoramic x-ray dataset for benchmarking diagnostic systems
The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …
Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs
Objectives To evaluate a fully deep learning mask region-based convolutional neural
network (R-CNN) method for automated tooth segmentation using individual annotation of …
network (R-CNN) method for automated tooth segmentation using individual annotation of …
Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network
Objectives: The purpose of this study was to automatically diagnose odontogenic cysts and
tumors of both jaws on panoramic radiographs using deep learning. We proposed a novel …
tumors of both jaws on panoramic radiographs using deep learning. We proposed a novel …
Progress in deep learning-based dental and maxillofacial image analysis: A systematic review
Background With the advent of deep learning in modern computing there has been
unprecedented progress in image processing and segmentation. Deep learning-based …
unprecedented progress in image processing and segmentation. Deep learning-based …