OncoViT-Lung
OncoViT-Lung is a SYNTHETIC/DEMO cancer detection model for lung nodule malignancy classification. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.
Imaging
PathAI Community
License: MIT
v1.5.2
RTG 4.3
DL 240,617
Metrics
| Metric | Value | Split |
|---|---|---|
| AUC | 0.822 | Synthetic hold-out |
| Calibration (ECE) | 0.075 | Synthetic |
| Inputs | Outputs |
|---|---|
| CT scan (DICOM) | Malignancy probability + ROI heatmap |
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-001-oncovit-lung/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<ct scan (dicom)>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-001-oncovit-lung
Version history
| Version | Status | Notes |
|---|---|---|
| v1.5.0 | Archived | Synthetic release note 0 |
| v1.5.1 | Archived | Synthetic release note 1 |
| v1.5.2 | Current | Synthetic release note 2 |
Community contributions: 26 synthetic contributors have submitted evaluations and fine-tunes.