GlioSeg-Brain
GlioSeg-Brain is a SYNTHETIC/DEMO cancer detection model for glioma segmentation & grading. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.
Imaging
BioNexus
License: BSD-3-Clause
v3.9.3
RTG 4.7
DL 158,878
Metrics
| Metric | Value | Split |
|---|---|---|
| Dice | 0.905 | Synthetic hold-out |
| Calibration (ECE) | 0.042 | Synthetic |
| Inputs | Outputs |
|---|---|
| Brain MRI (FLAIR/T1c) | Tumor mask + grade |
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-006-glioseg-brain/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<brain mri (flair/t1c)>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-006-glioseg-brain
Version history
| Version | Status | Notes |
|---|---|---|
| v3.9.0 | Archived | Synthetic release note 0 |
| v3.9.1 | Archived | Synthetic release note 1 |
| v3.9.2 | Archived | Synthetic release note 2 |
| v3.9.3 | Current | Synthetic release note 3 |
Community contributions: 63 synthetic contributors have submitted evaluations and fine-tunes.