Phase II — Full WSI Integration
The next evolution of PathoIntern: whole-slide image processing, deep-zoom viewer, risk heatmaps, and UNI foundation model embeddings.
Phase II has not started yet
Phase II development begins after Phase I MVP is completed and validated (estimated Week 7+). The architecture is designed to extend cleanly from Phase I — the same FastAPI backend, PostgreSQL + pgvector database, and Next.js frontend will be extended, not replaced.
What Phase II Will Include
Whole-Slide Image Viewer
OpenSeadragon-powered deep-zoom viewer for interactive exploration of 200,000+ cell slides at full resolution.
Risk Heatmap Overlay
Anomaly score heatmap rendered over the whole slide — pathologist can see exactly which regions the AI flagged.
UNI Foundation Model
4096-dimensional embeddings from the UNI model (Nature Medicine, 2024) trained on 100,000+ pathology slides.
Slide-Level Aggregated Scoring
Patch-level anomaly scores are pooled to a slide-level criticality score with spatial distribution analysis.
Institutional Data Integration
~150 institutional blood smear slides (~200 GB) replace the Kaggle dataset for real-world training and validation.
LIS / EMR Integration
REST API integration with hospital Laboratory Information Systems for automated slide import and report export.
Pathologist Learning Loop
Verdict data from Phase I feeds back into the model fine-tuning pipeline, improving accuracy over time.
Production-Grade Deployment
Cloud-containerized architecture with high-availability database, GPU inference servers, and 99.9% uptime SLA.
Phase I → Phase II: Key Changes
| Layer | Phase I | Phase II |
|---|---|---|
| Input | Pre-extracted patches (PNG/JPG) | Whole-slide images (NDPI, SVS, TIFF) |
| Embedding | CTransPath · 768-dim | UNI · 4096-dim |
| Viewer | Static image display | OpenSeadragon deep-zoom + heatmap |
| Scoring scope | Per-patch anomaly score | Slide-level aggregated score |
| Data source | Kaggle Parasite Dataset | Institutional library (~200 GB) |
| Model access | Public weights | HuggingFace access required |
| Infrastructure | Docker Compose (local) | Cloud deployment (GPU inference) |