[HTML][HTML] A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis

S Bhat, GK Birajdar, MD Patil - Healthcare Analytics, 2023 - Elsevier
The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …

Multi-label dental disorder diagnosis based on MobileNetV2 and swin transformer using bagging ensemble classifier

YM Alsakar, N Elazab, N Nader, W Mohamed… - Scientific Reports, 2024 - nature.com
Dental disorders are common worldwide, causing pain or infections and limiting mouth
opening, so dental conditions impact productivity, work capability, and quality of life. Manual …

Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging

MA Hasnain, H Malik, MM Asad… - International Journal of …, 2024 - emerald.com
Purpose The purpose of the study is to classify the radiographic images into three categories
such as fillings, cavity and implant to identify dental diseases because dental disease is a …

[HTML][HTML] A comprehensive dental dataset of six classes for deep learning based object detection study

RB Rahman, SA Tanim, N Alfaz, TE Shrestha… - Data in Brief, 2024 - Elsevier
This article presents a dental dataset for the improvement of research on deep learning-
based detection and classification of dental diseases. The dataset is consisted of 232 …

X-ray image analysis for dental disease: A deep learning approach using EfficientNets

MA Hasnain, Z Ali, MS Maqbool, M Aziz - VFAST Transactions on Software …, 2024 - vfast.org
Dental cavities are a highly common persistent dental problem that impacts populations
across different age groups on a global scale. It is crucial to get a dental issue diagnosed as …

Optimized Classification of Cardiovascular Disease Using Machine Learning Paradigms

F Kanwal, MK Abid, MS Maqbool, N Aslam… - VFAST Transactions on …, 2023 - vfast.org
Nearly 19 million people die each year from cardiovascular and chronic respiratory
diseases, which are a global threat. It is necessary to address the causes of these diseases …

Implementation of Efficient Deep Fake Detection Technique on Videos Dataset Using Deep Learning Method

MM Rafiqee, ZH Qaiser, M Fuzail, N Aslam… - Journal of Computing & …, 2023 - jcbi.org
Deep fake technology has recently made tremendous advances that have made it possible
to produce incredibly realistic fake audio, video, and image media. These materials present …

IDD-Net: A Deep Learning Approach for Early Detection of Dental Diseases Using X-Ray Imaging

MA Hasnain, Z Ali, KU Rehman, M Ehtsham… - Journal of Computing & …, 2024 - jcbi.org
Early detection of dental diseases such as cavities, periodontitis, and periapical infections is
crucial for effective management and prevention, as these conditions can lead to severe …

An Efficient Deep Learning Approach for Prediction of Student Performance Using Neural Network

K Abid, N Aslam, M Fuzail, MS Maqbool… - VFAST Transactions on …, 2023 - vfast.org
In recent years, schools have shown interest in utilizing data mining to improve the quality of
education. To enhance academic performance, accurately predicting how students will …

PDDNet: Deep Learning Based Dental Disease Classification through Panoramic Radiograph Images

MA Hasnain, Z Ali, A Saeed, S Aijaz… - VFAST Transactions on …, 2024 - vfast.org
The high prevalence of dental cavities is a global public health concern. If untreated, cavities
can lead to tooth loss, but timely detection and treatment can prevent this outcome. X-ray …