OncoUrine AI
About This App
OncoUrine AI is a deep learning research application that analyzes urine sample images to detect and classify major cancer variants. Built on PyTorch, it gives clinicians and researchers a fast, non-invasive screening tool — turning microscopic imagery into actionable diagnostic insights without the need for invasive procedures.
Who is it for
Oncologists, Pathologists, Clinical Researchers, Medical Labs, Hospital Diagnostics Teams
Why OncoUrine AI
📍 Non-invasive screening — urine sample images only, no biopsies or blood draws needed
📍 Multi-variant classification — detects major cancer variants from a single sample
📍 Rapid results — classification output delivered within seconds
📍 Confidence scoring — each prediction includes a reliability score for clinical judgement
📍 Batch processing — analyse large volumes of sample images in one run
📍 Exportable reports — auto-generated structured reports ready for patient records
📍 Continual improvement — model retrains on new data to grow accuracy over time
How it works
Upload a urine sample microscopic image into the application. The deep learning model analyses the image and classifies cancer variants. View results with confidence scores and export a diagnostic report instantly.
Research Integrity
OncoUrine AI is a research prototype achieving 68% classification accuracy across major variants. Results are intended to assist clinical decision-making, not replace professional medical diagnosis.