低剂量和高分辨率CT扫描中的肺结节检测
Lung nodule detection in low-dose and high-resolution CT scans
摘要：
我们正在开发一种计算机辅助检测（CAD）系统，用于在筛选CT扫描中识别肺小结节。我们的系统的主要模块，即结节候选人选择的点增强过滤器和减少假阳性发现的神经分类器，进行了描述。对迄今为止收集的肺部CT数据库所获得的初步结果进行了讨论。
英文摘要：
We are developing a computer-aided detection (CAD) system for the identification of small pulmonary nodules in screening CT scans. The main modules of our system, i.e. a dot-enhancement filter for nodule candidate selection and a neural classifier for false positive finding reduction, are described. The preliminary results obtained on the so-far collected database of lung CT are discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
