Cervical Cancer Diagnosis Platform
ML-Based Digital Histopathology System for Southwestern Uganda
Mbarara University of Science and Technology
4
Total Patients
6
Total Specimens
6
Total Images
System Features
Patient Management
Register and manage patient demographic information with comprehensive data tracking and history.
Specimen Tracking
Track cervical biopsy specimens through the entire diagnostic workflow with real-time status updates.
AI-Powered Analysis
Automated analysis of digital histopathology images using ML models.
Human-in-the-Loop
Expert pathologist validation ensures diagnostic accuracy with seamless review and feedback workflows.
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Access the platform to manage patients, specimens, and diagnostic workflows.
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