What this project brings together
The documented feature scope describes an MRI/CT image workflow that produces cancer-trait predictions and heatmaps, with secure patient reports and an oncology support chatbot.
Problem
Medical imaging workflows need a way to analyse MRI/CT scans and present model output in a form that can be reviewed.
Implementation approach
The documented project scope combines a React interface with Python and TensorFlow for scan analysis. Its described outputs include cancer-trait predictions, tumour heatmaps and secure patient reports. The pipeline shown here is a feature-level overview, not a claim about undocumented deployment or storage internals.
How the experience works
A step-by-step view of the product flow, using the features and components documented for this project.
- STEP 01Provide an MRI / CT scanThe described feature begins with a medical imaging input.
- STEP 02Run model analysisThe project scope describes a Python and TensorFlow deep-learning workflow.
- STEP 03Present prediction and heatmapThe stated outputs include cancer-trait prediction, probability information and a visual heatmap.
- STEP 04Prepare a patient reportThe documented feature set includes secure patient reports and an oncology support chatbot.
Trade-offs & constraints
Trade-offs and implementation constraints were not documented in the supplied project notes, so no assumptions are presented here.
Key features
- AI-powered MRI/CT scan analysis
- Probability scores and tumor size detection
- Heatmaps for visualization
- Secure report storage
- Oncology help and support chatbot