Challenge landscape
Case StudiesPSP App
Case Study
ImagingPSP App
Imaging plate artifact detection
Automated artifact detection for imaging plates.
AI ClassificationArtifact DetectionDICOMDental X-rayHeatmaps
softx.ca · psp-project-dental-x-ray-artifact-detection
Scan Details
JointKnee
StatusAnalyzed
Confidence98%
AI Overlays
Heatmap
Landmarks
Contours
AI Assisted
Frame 4/12
Context
The Problem
Artifacts in dental X-ray plates reduce diagnostic quality and can lead to retakes, delays, and inconsistent interpretation.
- Imaging quality assurance
- dental AI
Approach
The Solution
Artifact detection model that outputs a yes/no artifact flag with confidence scoring and optional heatmap for rapid quality assurance.
- Dental imaging pipeline integration
- DICOM where applicable
- API-based scoring.
Implementation approach
Delivery
How We Built It
Artifact taxonomy → labeled dataset creation → model training → explainability (heatmap) → validation → integration into QA workflow.
Outcomes
Results
AI Classification
Artifact Detection
DICOM
Dental X-ray
Heatmaps
Imaging QA
Quality Control
Imaging quality assurance