NSMD-NAS: Retinal Image Segmentation with Neural Architecture Search and Non-Subsampled Multiscale Decomposition-Reference-Cited by-同舟云学术

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NSMD-NAS: Retinal Image Segmentation with Neural Architecture Search and Non-Subsampled Multiscale Decomposition

Published:2024-06-30 Issue: Volume:35 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Zhang Hanyu¹,Tang Lixin¹,Song Xiangman²,Xu Te¹

Affiliation:

1. Northeastern University,National Frontiers Science Center for Industrial Intelligence and Systems Optimization,Shen Yang,China,110819

2. Northeastern University,Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry,Shen Yang,China,110819

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612005.pdf?arnumber=10612005

Reference35 articles.

1. U-Net: Convolutional Networks for Biomedical Image Segmentation

2. SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation

3. M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications

4. Retinal blood vessel segmentation using fully convolutional network with transfer learning

5. Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks

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