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 …
An overview of deep learning in the field of dentistry
JJ Hwang, YH Jung, BH Cho… - Imaging science in …, 2019 - synapse.koreamed.org
Purpose Artificial intelligence (AI), represented by deep learning, can be used for real-life
problems and is applied across all sectors of society including medical and dental field. The …
problems and is applied across all sectors of society including medical and dental field. The …
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
In the application of deep learning on optical coherence tomography (OCT) data, it is
common to train classification networks using 2D images originating from volumetric data …
common to train classification networks using 2D images originating from volumetric data …
Classification of approximal caries in bitewing radiographs using convolutional neural networks
M Moran, M Faria, G Giraldi, L Bastos, L Oliveira… - Sensors, 2021 - mdpi.com
Dental caries is an extremely common problem in dentistry that affects a significant part of
the population. Approximal caries are especially difficult to identify because their position …
the population. Approximal caries are especially difficult to identify because their position …
A study on tooth segmentation and numbering using end-to-end deep neural networks
B Silva, L Pinheiro, L Oliveira… - 2020 33rd SIBGRAPI …, 2020 - ieeexplore.ieee.org
Shape, number, and position of teeth are the main targets of a dentist when screening for
patient's problems on X-rays. Rather than solely relying on the trained eyes of the dentists …
patient's problems on X-rays. Rather than solely relying on the trained eyes of the dentists …
Descriptive analysis of dental X-ray images using various practical methods: A review
A Kumar, HS Bhadauria, A Singh - PeerJ Computer Science, 2021 - peerj.com
In dentistry, practitioners interpret various dental X-ray imaging modalities to identify tooth-
related problems, abnormalities, or teeth structure changes. Another aspect of dental …
related problems, abnormalities, or teeth structure changes. Another aspect of dental …
GV Black dental caries classification and preparation technique using optimal CNN-LSTM classifier
P Singh, P Sehgal - Multimedia Tools and Applications, 2021 - Springer
Dental caries is one of the oral diseases which are a major health problem for many people
across the globe. It can lead to pain, discomfort, disfigurement, and even death in some …
across the globe. It can lead to pain, discomfort, disfigurement, and even death in some …
A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images
Nearly 3.5 billion humans have oral health issues, including dental caries, which requires
dentist-patient exposure in oral examinations. The automated approaches identify and …
dentist-patient exposure in oral examinations. The automated approaches identify and …
Teeth lesion detection using deep learning and the Internet of Things post-COVID-19
With a view of the post-COVID-19 world and probable future pandemics, this paper presents
an Internet of Things (IoT)-based automated healthcare diagnosis model that employs a …
an Internet of Things (IoT)-based automated healthcare diagnosis model that employs a …
Automatic classification of oral pathologies using orthopantomogram radiography images based on convolutional neural network
A Laishram, K Thongam - 2022 - reunir.unir.net
An attempt has been made to device a robust method to classify different oral pathologies
using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN) …
using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN) …