DentalXrayAI and Dental_Disease_Detection

Both tools are **competitors** offering alternative implementations of dental disease detection from X-ray images using object detection models (YOLO-based approaches), where users would select one based on webUI preference versus specific disease focus rather than using them together.

DentalXrayAI
41
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 18/25
Maintenance 2/25
Adoption 3/25
Maturity 16/25
Community 12/25
Stars: 33
Forks: 13
Downloads:
Commits (30d): 0
Language: HTML
License: Apache-2.0
Stars: 3
Forks: 1
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About DentalXrayAI

NoahOksuz/DentalXrayAI

Object detection webUI and model for dental xray analysis

This tool helps dental professionals quickly analyze dental X-rays to identify common issues. You upload a dental X-ray image, and the system outputs the image with detected issues like caries, deep caries, impacted teeth, or periapical lesions highlighted directly on it. It's designed for dentists, hygienists, and other dental practitioners to aid in preliminary assessments.

dental-imaging radiology-analysis oral-diagnosis dentistry x-ray-interpretation

About Dental_Disease_Detection

mkp151203/Dental_Disease_Detection

This project leverages deep learning techniques to detect and predict various dental diseases from panoramic dental X-ray images (OPG - Orthopantomogram). It uses the YOLOv8 object detection model for localizing and identifying diseased regions, enabling automated screening and assistance for dental professionals.

Related comparisons

Scores updated daily from GitHub, PyPI, and npm data. How scores work