Jerebko Anna, Lakare Sarang, Cathier Pascal, Periaswamy Senthil, Bogoni Luca
Siemens Medical Solutions, CAD group, Malvern, PA 19380, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):169-76. doi: 10.1007/11866763_21.
A novel approach for generating a set of features derived from properties of patterns of curvature is introduced as a part of a computer aided colonic polyp detection system. The resulting sensitivity was 84% with 4.8 false positives per volume on an independent test set of 72 patients (56 polyps). When used in conjunction with other features, it allowed the detection system to reach an overall sensitivity of 94% with a false positive rate of 4.3 per volume.
作为计算机辅助结肠息肉检测系统的一部分,引入了一种从曲率模式属性中生成一组特征的新方法。在一个由72名患者(56个息肉)组成的独立测试集上,最终的灵敏度为84%,每体积有4.8个假阳性。当与其他特征结合使用时,该检测系统的总体灵敏度达到了94%,假阳性率为每体积4.3个。