Status:
COMPLETED
A Deep Learning Approach to Submerged Teeth Classification and Detection
Lead Sponsor:
Eskisehir Osmangazi University
Conditions:
Artificial Intelligence
Submerging Tooth
Eligibility:
All Genders
5-12 years
Brief Summary
Objectives: The study aimed to compare the success and reliability of an artificial intelligence application in the detection and classification of submerged teeth in orthopantomography (OPG). Method...
Detailed Description
Pre-processing, Training, and Classification The study was conducted with balanced data sets. The case and control data sets were randomly divided into two parts, the training group (27 case group/27 ...
Eligibility Criteria
Inclusion
Exclusion
- OPG images of poor quality (metal artifact, artifacts due to position errors during shooting, etc.) were excluded.
Key Trial Info
Start Date :
January 1 2019
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
March 1 2020
Estimated Enrollment :
74 Patients enrolled
Trial Details
Trial ID
NCT04309851
Start Date
January 1 2019
End Date
March 1 2020
Last Update
March 16 2020
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Seçil Çalışkan
Eskişehir, Turkey (Türkiye), 26040