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Upgraded W-Net with Attention Gates and its Application in Unsupervised
  3D Liver Segmentation

Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation

International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2020
20 November 2020
Dhanunjaya Mitta
S. Chatterjee
Oliver Speck
A. Nürnberger
    SSegMedIm
ArXiv (abs)PDFHTML

Papers citing "Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation"

2 / 2 papers shown
Artery-Vein Segmentation from Fundus Images using Deep Learning
Artery-Vein Segmentation from Fundus Images using Deep Learning
Sharan SK
Subin Sahayam
Umarani Jayaraman
Lakshmi Priya A
113
0
0
04 Oct 2025
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic
  liver segmentation in CT
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
Jinke Wang
Xiangyang Zhang
Peiqing Lv
Lubiao Zhou
Haiying Wang
SSeg
324
22
0
03 Oct 2021
1
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