PyRadiomics-cuda is a GPU-accelerated extension of the PyRadiomics library, designed to address the computational challenges of extracting three-dimensional shape features from medical images. By offloading key geometric computations to GPU hardware it dramatically reduces processing times for large volumetric datasets. The system maintains full compatibility with the original PyRadiomics API, enabling seamless integration into existing AI workflows without code modifications. This transparent acceleration facilitates efficient, scalable radiomics analysis, supporting rapid feature extraction essential for high-throughput AI pipeline. Tests performed on a typical computational cluster, budget and home devices prove usefulness in all scenarios.

翻译：PyRadiomics-cuda是PyRadiomics库的GPU加速扩展，旨在解决从医学图像中提取三维形状特征所面临的计算挑战。通过将关键几何计算任务卸载至GPU硬件，该系统显著缩短了大规模体数据集的处理时间。该扩展库与原始PyRadiomics API保持完全兼容，无需修改代码即可无缝集成至现有AI工作流程。这种透明的加速机制实现了高效、可扩展的影像组学分析，为高通量AI流程所必需的特征提取提供了快速支持。在典型计算集群、经济型设备及家用设备上进行的测试验证了其在所有场景下的实用性。