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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Vydané v:	Biomedical signal processing and control Ročník 90; s. 105861
Hlavní autori:	Ni, Jiajia, Mu, Wei, Pan, An, Chen, Zhengming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2024
Predmet:	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
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