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Open access Sep 2026

Context‐informed personalized segmentation from radiology reports: A fully automated framework for long‐term liver tumor follow‐up

Personalized segmentation has been shown to improve performance over generalized models in follow‐up imaging; however, its robustness across large temporal gaps remains unclear. We propose a fully automated, context‐informed personalization framework that integrates radiology report‐derived clinical context with imagin...

J. Chun, M. Woodland, A. Castelo et al. · 0 citations
#software testing Preprint Sep 2026

Flash-Radiomics: A Scalable Hybrid CPU-CUDA Engine for Standardized Scalar Radiomics and Accelerated Spatial Mapping

Background and Objectives: Spatial mapping retains the spatial distribution of radiomic features, but computational cost and fragmented software limit its use. We developed Flash-Radiomics with scalar extraction and spatial mapping, a central processing unit (CPU) backend, a hybrid Compute Unified Device Architecture (...

Shan-Li Ding, Yi-Yi Hu, Zi-Yu Fu et al. · 0 citations

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