FSE-Net: Rethinking the up-sampling operation in encoder-decoder structure for retinal vessel segmentation

•We present an efficient medical image segmentation framework called FSE-Net for retinal vessel segmentation, which eliminates the up-sampling operation.•To enhance the feature extraction capability in the encoder stage, we introduce the Residual Feature Separable Block (RFSB) module, which effectiv...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 90; p. 105861
Main Authors:	Ni, Jiajia, Mu, Wei, Pan, An, Chen, Zhengming
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2024
Subjects:	Convolutional neural network Feature fusion Retinal vessel segmentation U-Net Retinal vessel segmentation Feature fusion Convolutional neural network U-Net
ISSN:	1746-8094, 1746-8108
Online Access:	Get full text
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