A-Fuse: Airway Tree Segmentation That Holds Up on Pediatric CT
Three adult-trained airway models, one union, and an anchor rule that keeps the real tree on child and adult chest CT.
November 2, 2026
Guides, project breakdowns, and lessons learned from building medical imaging platforms — written by the PYCAD team.
Three adult-trained airway models, one union, and an anchor rule that keeps the real tree on child and adult chest CT.
An open-source tool inserts known lesions into real PET and SPECT raw data to show which recon settings keep small lesions measurable.
A masked-image pretext that swaps PET and CT blocks helps a SwinUNETR find liver and bone lesions and drop false calls.
An nnU-Net labels a new hospital’s angiograms, and the frame before contrast arrives flags the branches it missed.
The report names the liver segment or pancreas region, and a 3D model contours that tumor with fewer stray masks elsewhere.
Brain CT becomes a synthetic T1 for FreeSurfer, and an ensemble with conformal calibration flags the amyloid calls that need an MRI.
We build custom medical imaging platforms — advanced DICOM viewers, AI segmentation, and the clinical systems around them.
Copyright © 2026 PYCAD. All Rights Reserved.