Deep learning for caries detection: A systematic review
Objectives Detecting caries lesions is challenging for dentists, and deep learning models
may help practitioners to increase accuracy and reliability. We aimed to systematically …
may help practitioners to increase accuracy and reliability. We aimed to systematically …
An overview of image processing for dental diagnosis
RB Chauhan, TV Shah, DH Shah, TJ Gohil… - Innovation and …, 2023 - World Scientific
Dental disease evaluation and clinical assessment are frequently accomplished through
radiographic penetration. The difficulty of obtaining an accurate clinical diagnosis from …
radiographic penetration. The difficulty of obtaining an accurate clinical diagnosis from …
Application of machine learning to stomatology: a comprehensive review
ML Sun, Y Liu, G Liu, D Cui, AA Heidari, WY Jia… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …
Dental caries classification system using deep learning based convolutional neural network
L Megalan Leo… - Journal of Computational …, 2020 - ingentaconnect.com
In the modern times, Dental caries is one of the most prevalent diseases of the teeth in the
whole world. Almost 90% of the people get affected by cavity. Dental caries is the cavity …
whole world. Almost 90% of the people get affected by cavity. Dental caries is the cavity …
Algorithm of Caries Level Image Classification Using Multilayer Perceptron Based Texture Features
Y Jusman, A Widyaningrum… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
A number of patients with untreated caries only seek treatment at late stages when serious
complications might have already developed and can lead to significant acute and chronic …
complications might have already developed and can lead to significant acute and chronic …
[LIVRE][B] Machine Learning Methods for Signal, Image and Speech Processing
MA Jabbar, MVVP Kantipudi, SL Peng, MBI Reaz… - 2022 - api.taylorfrancis.com
The signal processing (SP) landscape has been enriched by recent advances in artificial
intelligence (AI) and machine learning (ML), yielding new tools for signal estimation …
intelligence (AI) and machine learning (ML), yielding new tools for signal estimation …
Caries Level Classification using Combination of Hu and Zernike Invariant Moments Features and Machine Learning
One of the most important parts of the human body is the teeth. In the human body, teeth are
used as a digestive process and a beauty in the human body. Thus, it is necessary to …
used as a digestive process and a beauty in the human body. Thus, it is necessary to …
Dental data analysis based on dental x-ray panorama
S Zhao, C Liu, Q Luo - … of the Third International Symposium on Image …, 2019 - dl.acm.org
In this paper, the tooth segmentation study for dental X-ray panorama has been conducted
and the abnormal performance of a single tooth has been analyzed. Considering the …
and the abnormal performance of a single tooth has been analyzed. Considering the …
Caries level classification based on Zernike moment invariant and machine learning
The teeth are one of the essential organs in the human digestive system. Teeth not only help
people in the digestive process but also have a vital function for human-sense. Therefore, it …
people in the digestive process but also have a vital function for human-sense. Therefore, it …
An overview of artificial neural network in the field of pediatric dentistry
Artificial intelligence (AI) has been used in a variety of ways in healthcare. AI is a
development in the field of technology which is expeditiously advancing and has fascinated …
development in the field of technology which is expeditiously advancing and has fascinated …