.png){kind=icon}
返回
Retinal blood vessel segmentation using pixel-based feature vector
.png){kind=icon}
PRE
AI
DOI：10.1016/j.bspc.2021.103053.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A lot of important disease information can be accessed by performing retinal blood vessel analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal blood vessel analysis. If this disease is detected at an early stage, vision loss can be prevented. In this paper, a method that performs retinal blood vessel analysis with classical methods is proposed. In this proposed system, pixel-based feature extraction is performed. Five different feature groups are used for feature extraction. These feature groups are edge detection, morphological, statistical, gradient, and Hessian matrix. An 18-D feature vector is created for each pixel. This feature vector is given to the artificial neural network for training. Using test images, the system is tested on two publicly available datasets. Sensitivity, Specificity, and Accuracy performance measures were used as success measures. The similarity index between the segmented image and the ground truth is measure using Dice and Jaccard. The accuracy of the system was measured as 96.18% for DRIVE and 94.56% for STARE, respectively. Experimental results show that the proposed algorithm achieves satisfactory results. This method can be used as an automated retinal blood vessel segmenting system.
Keyword:
Biomedical imaging
Retinal blood vessel segmentation
Image segmentation
Feature extraction
期刊
IF:
4.9
论文数:
9.9K
被引数:
2.4W
机构
引用论文
分享收藏分享收藏Optic disc and optic cup segmentation from retinal images using hybrid approach使用混合方法从视网膜图像中分割视盘和视杯
PREAI
分享收藏Trainable COSFIRE filters for vessel delineation with application to retinal images.png)
MEDICAL IMAGE ANALYSIS
OAAI
MEDICAL IMAGE ANALYSISIF11.8
OAAI分享收藏A fractional filter based efficient algorithm for retinal blood vessel segmentation一种基于分数阶滤波的高效视网膜血管分割算法
PREAI
分享收藏
查看更多内容