IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images

Author:

Liu Mingtao,Wang Yunyu,Wang Lei,Hu Shunbo,Wang Xing,Ge Qingman

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference41 articles.

1. Retinal vessel segmentation algorithm based on residual convolution neural network;Xu;Front. Bioeng. Biotechnol.,2021

2. Local entropy thresholding based fast retinal vessels segmentation by modifying matched filter;Singh,2015

3. Retinal blood vessel segmentation by support vector machine classification;Tuba,2017

4. Retinal vessel delineation using a brain-inspired wavelet transform and random forest;Zhang;Pattern Recogn.,2017

5. Long, J., Shelhamer, E., & Darrell, T. (2015). Fully convolutional networks for semantic segmentation. InProceedings of the IEEE conference on computer vision and pattern recognition(pp. 3431-3440).

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