[P] fastrad: GPU-native radiomics library — 25× faster than PyRadiomics, 100% IBSI-compliant, all 8 feature classes

Reddit - Machine Learning 1 min read

About this article

PyRadiomics is the de facto standard for radiomic feature extraction, but it's CPU-only and takes ~3 seconds per scan. At scale, that's a bottleneck. I built fastrad — a PyTorch-native library that implements all 8 IBSI feature classes (first-order, shape 2D/3D, GLCM, GLRLM, GLSZM, GLDM, NGTDM) as native tensor operations. Everything runs on torch.Tensor with transparent device routing (auto/cuda/cpu). Key numbers on an RTX 4070 Ti vs PyRadiomics: • End-to-end: 0.116s vs 2.90s → 25× speedup •...

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Originally published on March 30, 2026. Curated by AI News.

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