Automatic Detection of Vascular Bifurcations and Crossovers from Color Retinal Fundus Images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4618740/4618741/04618843.pdf?arnumber=4618843
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Retinal vascular junction detection and classification via deep neural networks;Computer Methods and Programs in Biomedicine;2020-01
2. Method for Finding the Limits of Blood Vessel Landmarks in Eye Fundus Images Based on Distances in Graphs: Preliminary Results;IFMBE Proceedings;2019-09-25
3. Network-based features for retinal fundus vessel structure analysis;PLOS ONE;2019-07-25
4. Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods;Artificial Intelligence in Medicine;2019-04
5. Image Analysis for Ophthalmology: Segmentation and Quantification of Retinal Vascular Systems;Ocular Fluid Dynamics;2019
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