Web-based platform for end-to-end medical data processing
Supports tabular data & medical images with experiment tracking
| Category | Capabilities |
|---|---|
| Data Import | CSV/Excel/DICOM |
| Visualization | 3D slicers, histograms, layer fusion |
| Preprocessing | Auto-normalization, skull-stripping, patch extraction |
| Model Training | U-Net, Inception hybrids, AutoML configs |
| Evaluation | Dice score, ROC curves, confusion matrices |
| Collaboration | Exportable reports, version comparisons |
(Click to see live preprocessing + tabular data treatment demo)
| Component | Technology Stack |
|---|---|
| Frontend | React + Redux, Three.js (3D), Plotly.js |
| Backend | Flask, Celery (async tasks), OpenCV/PyDICOM |
| AI Models | TensorFlow/Keras (3D U-Net), Scikit-learn (tabular) |
| Database | MySQL (relational), MinIO (DICOM storage) |
docker-compose -f docker-compose.prod.yml up --build