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Performance evaluation system for automated lung segmentation system using HRCT Thorax images

机译:基于HRCT胸部图像的自动肺分割系统性能评估系统

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摘要

Segmentation is an important process especially in a Computer Aided Diagnosis (CADx) system. There are various methods of segmentation. A large majority of these involve a threshold based approach. For this study full HRCT Thorax scans from 10 normal patients were analysed. This study proposes a performance evaluation system for segmentation system. The performance evaluation uses five measures which are Jaccard's Index, Hausdorff Distance, Area Error, and Relative Volume Difference. A segmentation system previously developed for a limited five HRCT thorax segmentation system called ALSS was evaluated using the proposed system. The results from all performance measures showed that the segmentation system was consistent and was able to segment accurately across all the slices of the thorax.
机译:分割是一个重要的过程,尤其是在计算机辅助诊断(CADx)系统中。有多种分割方法。其中大多数涉及基于阈值的方法。对于本研究,分析了来自10名正常患者的完整HRCT胸部扫描。该研究提出了一种针对细分系统的性能评估系统。性能评估使用五个指标,分别是雅卡德指数,豪斯多夫距离,面积误差和相对体积差异。使用提议的系统评估了先前为有限的五个HRCT胸部分割系统(称为ALSS)开发的分割系统。所有性能指标的结果都表明,分割系统是一致的,并且能够在所有胸部切片上进行准确分割。

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