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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

20 November 2020
Dhanunjaya Mitta
S. Chatterjee
Oliver Speck
A. Nürnberger
    SSeg
    MedIm
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Papers citing "Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation"

3 / 3 papers shown
Title
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
19
14
0
03 Oct 2021
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
230
2,056
0
07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1