OrganSeg-Abdo
OrganSeg-Abdo is a SYNTHETIC/DEMO medical imaging model for multi-organ abdominal ct segmentation. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.
Imaging
NeuroScan Labs
License: BioFoundry Research
v2.7.7
RTG 4.6
DL 220,953
Metrics
| Metric | Value | Split |
|---|---|---|
| Dice | 0.945 | Synthetic hold-out |
| Calibration (ECE) | 0.026 | Synthetic |
| Inputs | Outputs |
|---|---|
| Abdominal CT volume | Per-organ masks |
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-040-organseg-abdo/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<abdominal ct volume>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-040-organseg-abdo
Version history
| Version | Status | Notes |
|---|---|---|
| v2.7.0 | Archived | Synthetic release note 0 |
| v2.7.1 | Archived | Synthetic release note 1 |
| v2.7.2 | Archived | Synthetic release note 2 |
| v2.7.3 | Archived | Synthetic release note 3 |
| v2.7.4 | Archived | Synthetic release note 4 |
| v2.7.5 | Archived | Synthetic release note 5 |
| v2.7.6 | Archived | Synthetic release note 6 |
| v2.7.7 | Current | Synthetic release note 7 |
Community contributions: 59 synthetic contributors have submitted evaluations and fine-tunes.