Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network

Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network

Accurate segmentation of retinal vessels is a basic step in diabetic retinopathy (DR) detection. Most methods based on deep convolutional neural network (DCNN) have small receptive fields, and hence they are unable to capture global context information of larger regions, with difficult to identify p...

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Bibliographic Details
Main Authors: Yun Jiang, Ning Tan, Tingting Peng, Hai Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Multi-scale
retinal vessel segmentation
deep convolutional neural network
dilation convolutions
residual module
Online Access:https://ieeexplore.ieee.org/document/8736207/

Internet

https://ieeexplore.ieee.org/document/8736207/

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