A foveated imaging geometry CT (FIGCT) with mostly low-res detectors and a seeded diffusion model (DPFSR) enables global high-resolution CT reconstruction from limited high-res data.
SPIE -AAPM- NCI Lung Nodule Classification Challenge Dataset, in The Cancer Imaging Archive
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Handcrafted radiomics from multicenter CT scans achieves 0.77 AUC for predicting EGFR and KRAS mutations in lung cancer and generalizes better than deep features.
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Foveated-Imaging Geometry CT Architecture and Seeded Diffusion Model Enabling Global Super-Resolution Reconstruction
A foveated imaging geometry CT (FIGCT) with mostly low-res detectors and a seeded diffusion model (DPFSR) enables global high-resolution CT reconstruction from limited high-res data.
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Robust Multicenter CT Radiogenomics for Dual EGFR and KRAS Prediction in Lung Cancer with Stability-Aware Modeling and SHAP Interpretation
Handcrafted radiomics from multicenter CT scans achieves 0.77 AUC for predicting EGFR and KRAS mutations in lung cancer and generalizes better than deep features.