research-article

A Review of U-Net Network Medical Image Segmentation Applications

Authors:

Jiangying YuanAuthors Info & Claims

AIPR '22: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition

Pages 457 - 461

https://doi.org/10.1145/3573942.3574048

Published: 16 May 2023 Publication History

Abstract

This paper provides a comprehensive review of U-Net networks. It describes the basic structure and working principle of convolutional neural networks and U-Net networks, summarizes the improvement of U-Net network model; summarizes the improvement of U-Net network structure in terms of convolutional operation, pooling operation, fully connected layer and output layer; and outlooks the future development direction of U-Net networks.

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Cited By

Bhairnallykar SNarawade V(2024)A Comprehensive Exploration of Convolutional Neural Network Architectures in Deep LearningProceedings of International Conference on Recent Innovations in Computing10.1007/978-981-97-3442-9_12(175-195)Online publication date: 23-Oct-2024
https://doi.org/10.1007/978-981-97-3442-9_12
Alsayat AElmezain MAlanazi SAlruily MMostafa ASaid W(2023)Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel SegmentationDiagnostics10.3390/diagnostics1321336413:21(3364)Online publication date: 1-Nov-2023
https://doi.org/10.3390/diagnostics13213364
Wnuk MDziuba JJanusz AŚlęzak D(2023)IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays2023 IEEE International Conference on Big Data (BigData)10.1109/BigData59044.2023.10386564(6084-6091)Online publication date: 15-Dec-2023
https://doi.org/10.1109/BigData59044.2023.10386564

Index Terms

A Review of U-Net Network Medical Image Segmentation Applications
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Activity recognition and understanding

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AIPR '22: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition

September 2022

1221 pages

ISBN:9781450396899

DOI:10.1145/3573942

Copyright © 2022 ACM.

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Published: 16 May 2023

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AIPR 2022

AIPR 2022: 2022 5th International Conference on Artificial Intelligence and Pattern Recognition

September 23 - 25, 2022

Xiamen, China

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Cited By

Bhairnallykar SNarawade V(2024)A Comprehensive Exploration of Convolutional Neural Network Architectures in Deep LearningProceedings of International Conference on Recent Innovations in Computing10.1007/978-981-97-3442-9_12(175-195)Online publication date: 23-Oct-2024
https://doi.org/10.1007/978-981-97-3442-9_12
Alsayat AElmezain MAlanazi SAlruily MMostafa ASaid W(2023)Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel SegmentationDiagnostics10.3390/diagnostics1321336413:21(3364)Online publication date: 1-Nov-2023
https://doi.org/10.3390/diagnostics13213364
Wnuk MDziuba JJanusz AŚlęzak D(2023)IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays2023 IEEE International Conference on Big Data (BigData)10.1109/BigData59044.2023.10386564(6084-6091)Online publication date: 15-Dec-2023
https://doi.org/10.1109/BigData59044.2023.10386564

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