Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation

Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation

Devising automated procedures for accurate vessel segmentation (retinal) is crucial for timely prognosis of vision-threatening eye diseases. In this paper, a novel supervised deep learning-based approach is proposed which extends a variant of the fully convolutional neural network. The existing full...

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Bibliographic Details
Main Authors: Tariq Mahmood Khan, Musaed Alhussein, Khursheed Aurangzeb, Muhammad Arsalan, Syed Saud Naqvi, Syed Junaid Nawaz
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Retinal vessel segmentation
convolutional neural network
pixel-wise semantic segmentation
skip connection
low-level semantic information
residual edge information
Online Access:https://ieeexplore.ieee.org/document/9139485/

Internet

https://ieeexplore.ieee.org/document/9139485/

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