机译:在时标框架中使用NEAT进行分阶段搜索:在计算机辅助的肺结节检测系统上进行的实验
Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium,Department of Future Media and Imaging, iMinds, Caston Crommenlaan 8,9050 Cent, Belgium;
Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium,Department of Future Media and Imaging, iMinds, Caston Crommenlaan 8,9050 Cent, Belgium;
Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium;
Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium,Department of Future Media and Imaging, iMinds, Caston Crommenlaan 8,9050 Cent, Belgium;
Classifiers; Feature selection; Evolutionary computation; Artificial neural networks; Medical image analysis; Lung nodule detection;
机译:在时标框架中使用NEAT的分阶段搜索在计算机辅助检测方案中优化网络拓扑
机译:用于检测CT切片中恶性肺结节的计算机辅助检测(CADE)系统 - 早期肺癌检测的关键
机译:集成到图片存档和通信系统(PACS)中的计算机辅助检测(CAD)系统对在胸部CT检查中检测肺结节的阅读器灵敏度和效率的影响
机译:肺癌的计算机辅助检测:结合肺结节检测系统和肿瘤风险预测模型
机译:基于LS-SVM和小波变换的计算机辅助肺CT结节诊断系统。
机译:在时标框架中使用NEAT的分阶段搜索在计算机辅助检测方案中优化网络拓扑
机译:用于CT图像的计算机辅助肺结节检测系统中特征 - 解除神经进化分类器(FD-NEaT)的分析