DermoScan-Mel
DermoScan-Mel is a SYNTHETIC/DEMO cancer detection model for melanoma vs benign nevus classification. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.
Imaging
Genoma Institute
License: Apache-2.0
v3.5.7
RTG 4.8
DL 272,825
Metrics
| Metric | Value | Split |
|---|---|---|
| Accuracy | 0.832 | Synthetic hold-out |
| Calibration (ECE) | 0.043 | Synthetic |
| Inputs | Outputs |
|---|---|
| Dermoscopy image | Melanoma probability |
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-003-dermoscan-mel/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<dermoscopy image>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-003-dermoscan-mel
Version history
| Version | Status | Notes |
|---|---|---|
| v3.5.0 | Archived | Synthetic release note 0 |
| v3.5.1 | Archived | Synthetic release note 1 |
| v3.5.2 | Archived | Synthetic release note 2 |
| v3.5.3 | Archived | Synthetic release note 3 |
| v3.5.4 | Archived | Synthetic release note 4 |
| v3.5.5 | Archived | Synthetic release note 5 |
| v3.5.6 | Archived | Synthetic release note 6 |
| v3.5.7 | Current | Synthetic release note 7 |
Community contributions: 93 synthetic contributors have submitted evaluations and fine-tunes.