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Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge

机译:通过幻影CT扫描估算肺结节体积的算法变异性:QIBA 3A公开挑战赛的结果

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摘要

Rationale and Objectives: Quantifying changes in lung tumor volume is important for diagnosis, therapy planning, and evaluation of response to therapy. The aim of this study was to assess the performance of multiple algorithms on a reference data set. The study was organized by the Quantitative Imaging Biomarker Alliance (QIBA).
机译:原理和目的:量化肺肿瘤体积的变化对于诊断,治疗计划和评估治疗反应非常重要。本研究的目的是评估参考数据集上多种算法的性能。该研究由定量成像生物标志物联盟(QIBA)组织。

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