Baydush Alan H, Catarious David M, Lo Joseph Y, Floyd Carey E
Department of Radiation Oncology, Wake Forest University School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, USA.
J Digit Imaging. 2007 Jun;20(2):196-202. doi: 10.1007/s10278-007-9009-8. Epub 2007 Feb 16.
Previously, we developed a simple Laguerre-Gauss (LG) channelized Hotelling observer (CHO) for incorporation into our mass computer-aided detection (CAD) system. This LG-CHO was trained using initial detection suspicious region data and was empirically optimized for free parameters. For the study presented in this paper, we wish to create a more optimal mass detection observer based on a novel combination of LG channels. A large set of LG channels with differing free parameters was created. Each of these channels was applied to the suspicious regions, and an output test statistic was determined. A stepwise feature selection algorithm was used to determine which LG channels would combine best to detect masses. These channels were combined using a HO to create a single template for the mass CAD system. Results from free-response receiver operating characteristic curves demonstrated that the incorporation of the novel LG-CHO into the CAD system slightly improved performance in high-sensitivity regions.
此前，我们开发了一种简单的拉盖尔 - 高斯（LG）通道化霍特林观察者（CHO），用于集成到我们的乳腺计算机辅助检测（CAD）系统中。该LG - CHO使用初始检测可疑区域数据进行训练，并针对自由参数进行了经验性优化。对于本文所呈现的研究，我们希望基于LG通道的新颖组合创建一个更优的乳腺检测观察者。我们创建了一大组具有不同自由参数的LG通道。将这些通道中的每一个应用于可疑区域，并确定输出测试统计量。使用逐步特征选择算法来确定哪些LG通道组合起来检测乳腺的效果最佳。这些通道使用霍特林观察者（HO）进行组合，为乳腺CAD系统创建一个单一模板。自由响应接收器操作特性曲线的结果表明，将新颖的LG - CHO集成到CAD系统中在高灵敏度区域略微提高了性能。
