PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease using Dental Radiographs

A Bilal, AH Khan, K Almohammadi, SA Al Ghamdi… - IEEE …, 2024 - ieeexplore.ieee.org
Dental health plays a pivotal role in determining the general health and quality of life of a
person. Dental caries is a prevalent health problem in the world; therefore, prompt and …

The Deep Learning Model for Decayed-Missing-Filled Teeth Detection: A Comparison Between YOLOV5 and YOLOV8

M Fitria, Y Elma, M Oktiana, K Saddami… - … of Computers and …, 2024 - search.proquest.com
Tooth decay is a dental condition characterized by the deterioration of tooth tissue
originating from the outer surface and progressing to the pulp. Severe tooth decay, evolving …

Deep Learning Models for Dental Conditions Classification Using Intraoral Images

AF Makarim, T Karlita, R Sigit, BSB Dewantara… - … : International Journal on …, 2024 - joiv.org
This paper presents the digitalization of dentistry medical records to support the dentist in
the patient examination process. A dentist uses manual input to fill out the evaluation form by …

[PDF][PDF] Multi-Granularity Tooth Analysis via Faster Region-Convolutional Neural Networks for Effective Tooth Detection and Classification

S AbuSalim, N Zakaria, SA Mostafa… - … Journal of Advanced …, 2023 - researchgate.net
In image classification, multi-granularity refers to the ability to classify images with different
levels of detail or resolution. This is a challenging task because the distinction between …

[PDF][PDF] Usability testing of “smart odontogram” application based on user's experience

S Sukaridhoto, ED Fadhillah - researchgate.net
Introduction: Collecting dental data for odontogram in medical records is done chiefly
conventionally and causes a lot of human errors. Disadvantages of the conventional method …

[引用][C] Mangrove Tree Density Detector using YOLO Based on Darknet Framework using RGB Drone Imagery

I Yudhistira Kurniawan… - … of Computing and …, 2024 - University of Bahrain

[引用][C] Contribución de la Inteligencia Artificial en la especialidad de Odontología: Revisión Sistemática

YN Torres Hernández - Universidad Santo Tomás