Name
Title | ||
|---|---|---|
Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation |
Abstract | ||
|---|---|---|
Segmenting small retinal vessels with width less than 2 pixels in fundus images is a challenging task. In this paper, in order to effectively segment the vessels, especially the narrow parts, we propose a local regression scheme to enhance the narrow parts, along with a novel multi-label classification method based on this scheme. We consider five labels for blood vessels and background in particu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2020.2980233 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Retinal vessels,Image segmentation,Feature extraction,Image edge detection,Transforms,Convolutional neural networks | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5963 | 1 |
PageRank | References | Authors |
0.37 | 0 | 7 |