ColoPath-Detect
ColoPath-Detect is a SYNTHETIC/DEMO cancer detection model for colorectal polyp histopathology detection. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.
Imaging
EMBL-Synthetic
License: BSD-3-Clause
v4.9.0
RTG 4.1
DL 36,436
Metrics
| Metric | Value | Split |
|---|---|---|
| F1 | 0.95 | Synthetic hold-out |
| Calibration (ECE) | 0.068 | Synthetic |
| Inputs | Outputs |
|---|---|
| H&E slide tile | Polyp class + attention |
Run a synthetic prediction
Returns a deterministic synthetic result — clearly labeled, not for clinical use.
API integration
Call this model from your pipeline (demo — no real key required):
import requests
r = requests.post("https://api.biofoundry.ai/v1/models/bf-005-colopath-detect/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<h&e slide tile>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-005-colopath-detect
Version history
| Version | Status | Notes |
|---|---|---|
| v4.9.0 | Current | Synthetic release note 0 |
Community contributions: 103 synthetic contributors have submitted evaluations and fine-tunes.