Automatic Blood Vessel Segmentation in Retinal Fundus Images Using Image Enhancement and Dynamic Gray-Level Thresholding

Author:

Shanthamalar J. Jeslin,Ramani R. Geetha

Publisher

Springer Nature Singapore

Cited by 7 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. A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection;Computers and Electrical Engineering;2024-04

2. Grading diabetic retinopathy using multiresolution based CNN;Biomedical Signal Processing and Control;2023-09

3. Identification of retinal diseases based on retinal blood vessel segmentation using Dagum PDF and feature-based machine learning;The Imaging Science Journal;2023-02-28

4. Deep Learning-Based Framework for Automatic Diabetic Retinopathy Detection;2022 32nd International Conference on Computer Theory and Applications (ICCTA);2022-12-17

5. Transfer Learning for Diabetic Retinopathy Detection;2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE);2022-11-26

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