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DmADs-Net: Dense multiscale attention and depth-supervised network for
  medical image segmentation

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation

1 May 2024
Zhaojin Fu
Zheng Chen
Jinjiang Li
Lu Ren
    MedIm
ArXivPDFHTML

Papers citing "DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation"

5 / 5 papers shown
Title
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical
  Image Segmentation
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu
Zhicheng Ma
Nana He
Wenting Duan
SSeg
OOD
54
229
0
02 Feb 2022
Attention in Attention Network for Image Super-Resolution
Attention in Attention Network for Image Super-Resolution
Haoyu Chen
Jinjin Gu
Zhi-Li Zhang
SupR
31
68
0
19 Apr 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
333
36,420
0
25 Aug 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
451
15,652
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
411
75,972
0
18 May 2015
1