Medical ImagingGPU8 credits

MONAI / TotalSegmentator — Medical Image Segmentation

104-structure whole-body segmentation via API

TotalSegmentator is the go-to open-source model for whole-body CT segmentation — 104 anatomical structures in one pass. MONAI provides the PyTorch backbone. SciRouter wraps both behind a single endpoint: upload a DICOM volume, get back per-structure masks and volume measurements. Research-only — do not use for diagnosis.

$0.08
per API call
8
credits per call
/v1/medimg/segment
API endpoint

Features

104 anatomical structures segmented
DICOM + NIfTI input
Per-structure volume measurements
Research-only — NOT for clinical diagnosis

Quick Start

TotalSegmentator + MONAI — Python Examplepython
import requests

r = requests.post(
    "https://scirouter-gateway-production.up.railway.app/v1/medimg/segment",
    headers={"Authorization": "Bearer sk-sci-..."},
    json={
        "image_url": "https://example.com/ct-scan.nii.gz",
        "model": "totalsegmentator",
        "structures": ["liver", "spleen", "kidneys"],
    },
)
result = r.json()["data"]
for s in result["structures"]:
    print(f"{s['name']}: {s['volume_ml']:.1f} mL (dice {s['dice']:.3f})")

Use Cases

1

Radiology research

2

Anatomical landmark detection

3

Volume change tracking

4

Cohort study automation

Learn More

Medical Image Segmentation API: MONAI and TotalSegmentator

14 min read

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