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