Guides, project breakdowns, and lessons learned from building medical imaging platforms — written by the PYCAD team.
SLIP caches 3D patch features and undoes clicks with 140 MB deltas. Cross-dataset click latency is 0.06 s versus 0.31 s for nnInteractive. MRI uterus still goes to nnInteractive.
CT-ΔBench scores prior-vs-current CT difference reports on 2,638/169 CT-RATE pairs. Zero-shot Change-F1 tops out at 0.0175; DeltaMed full SFT reaches 0.1980.
AMPLIFAI adds LI-RADS categories plus voxel masks for APHE, washout, and capsule on 590 multiphase CTs, so liver AI can show the features in a viewer.
RadYOLO is a 3D YOLO11 for joint detection and instance segmentation on CT and MRI. It is 8-46x faster than nnU-Net on GPU and stronger on lesions.
PatchChestCT adds physician-reviewed 3D patch labels for nine chest CT findings on 2,201 CT-RATE studies, so models can localize, not just classify.
This blog is about how to use the nifti2dicom functin to convert nifti file or files into dicom series.
We build custom medical imaging platforms — advanced DICOM viewers, AI segmentation, and the clinical systems around them.
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