Automated Multi-Organ Segmentation
Manual vs. Automated Segmentation Time
We have created an AI-powered segmentation framework designed specifically for preclinical CT imaging. It’s trained on 300+ curated mouse and rat scans from multiple scanners and studies, making it:
- Robust across species, protocols, and imaging setups
- Accurate, achieving near-human performance
- Scalable, reducing segmentation time from 45 minutes to 5 minutes
This enables standardized, reproducible analysis for every study.
Key Highlights
- Seven organs segmented automatically: heart, lungs, liver, kidneys, spleen, stomach and bladder
- Mixed-species support: Segments both mice and rats without futher input
Why It Matters
With automated segmentation, researchers and CROs can:
- Save time and labor costs
- Run more studies in parallel
- Get consistent, reproducible results
- Unlock high-throughput dosimetry and biodistribution analysis
This segmentation technology forms the backbone of our end-to-end dosimetry pipeline, in turn, bringing AI to preclinical imaging and accelerating drug development.
Segmentation Results
Compare the original CT scan with our automated segmentation results. Read more about the accuracy and consistensy of the preclinIQ automated segmentation.