区域特征融合的高血压视网膜病变分类方法

由于高血压性视网膜病变(hypertensive retinopathy,HR)病灶特征不明显,传统分类算法难以对其进行有效分类.针对这一问题,提出一种具有整体特征和局部特征的区域特征融合HR分类方法,即在整体HR分类模型的基础上,融合局部特征动静脉交叉压迫(arteriovenous nicking,AVN)分类模型...

Classification Method of Hypertensive Retinopathy Based on Regional Feature Fusion

Due to the lack of distinctive clinical features of hypertensive retinopathy（HR）, it is difficult to effectively classify using conventional methods. Targeting on this problem, it proposes a regional feature fusion HR classification method with global and local characteristic, that is, based on the global model, merging its local characteristic arteriovenous nicking（AVN） classification model to enhance the HR classification effect. On AVN classification, it proposes a novel method to detect arteriovenous intersections. The proposed algorithm calculates the locations of these intersections through logical computing, AVN images are then extracted in regions of interest from HR affected rear of an eye photographs. Tested the proposed merging model with private databases, the accuracy, sensitivity and specificity are 93.5%, 69.83% and 98.33%, respectively. The experimental results show that this new model works well and gets better effect compared with the existing methods in the single-stage classification model.