一种用于检测视盘异常血管的多尺度分解方法。
A multiscale decomposition approach to detect abnormal vasculature in the optic disc.
作者信息
Agurto Carla, Yu Honggang, Murray Victor, Pattichis Marios S, Nemeth Sheila, Barriga Simon, Soliz Peter
机构信息
Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA; VisionQuest Biomedical LLC, Albuquerque, NM, USA.
VisionQuest Biomedical LLC, Albuquerque, NM, USA.
出版信息
Comput Med Imaging Graph. 2015 Jul;43:137-49. doi: 10.1016/j.compmedimag.2015.01.001. Epub 2015 Jan 20.
This paper presents a multiscale method to detect neovascularization in the optic disc (NVD) using fundus images. Our method is applied to a manually selected region of interest (ROI) containing the optic disc. All the vessels in the ROI are segmented by adaptively combining contrast enhancement methods with a vessel segmentation technique. Textural features extracted using multiscale amplitude-modulation frequency-modulation, morphological granulometry, and fractal dimension are used. A linear SVM is used to perform the classification, which is tested by means of 10-fold cross-validation. The performance is evaluated using 300 images achieving an AUC of 0.93 with maximum accuracy of 88%.
本文提出了一种利用眼底图像检测视盘新生血管（NVD）的多尺度方法。我们的方法应用于手动选择的包含视盘的感兴趣区域（ROI）。通过将对比度增强方法与血管分割技术自适应地结合，对ROI中的所有血管进行分割。使用多尺度调幅调频、形态粒度分析和分形维数提取纹理特征。使用线性支持向量机进行分类，并通过10折交叉验证进行测试。使用300张图像评估性能，AUC为0.93，最大准确率为88%。
Zotero 插件