Recurrent Residual Puzzle based Encoder Decoder Network (R2-PED) model for retinal vessel segmentation
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/s11042-023-16765-0.pdf
Reference39 articles.
1. Imran A, Li J, Pei Y, Yang JJ, Wang Q (2019) Comparative analysis of vessel segmentation techniques in retinal images. IEEE Access 7:114862–114887
2. Naveed K, Abdullah F, Madni HA, Khan MA, Khan TM, Naqvi SS (2021) Towards automated eye diagnosis: an improved retinal vessel segmentation framework using ensemble block matching 3D filter. Diagnostics 11(1):114
3. Chen C, Chuah JH, Ali R, Wang Y (2021) Retinal vessel segmentation using deep learning: a review. IEEE Access 9:111985–112004
4. Yan Z, Yang X, Cheng KT (2018) A three-stage deep learning model for accurate retinal vessel segmentation. IEEE J Biomed Health Inform 23(4):1427–1436
5. Uysal E, Güraksin GE (2021) Computer-aided retinal vessel segmentation in retinal images: convolutional neural networks. Multimed Tools Applic 80(3):3505–3528
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