A novel vessel extraction technique for a three-way classification of diabetic retinopathy using cascaded classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18407-5.pdf
Reference26 articles.
1. Cassel GH (2021) The eye book: a complete guide to eye disorders and health. JHU Press
2. Mustafa H, Ali SF, Bilal M, Hanif MS (2022) Multi-stream deep neural network for diabetic retinopathy severity classification under a boosting framework. IEEE Access 10:113172–113183
3. Cahoon S, Shaban M, Switala A, Mahmoud A, El-Baz A (2022) Diabetic retinopathy screening using a two-stage deep convolutional neural network trained on an extremely un-balanced dataset. IEEE
4. Yue G et al (2023) Attention-driven cascaded network for diabetic retinopathy grading from fundus images. Biomed Signal Process Control 80:104370
5. Azeem S, Khan U, Liaquat A (2022) The increasing rate of diabetes in pakistan: a silent killer. Ann Med Surg 79
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