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Narrowing the semantic gaps in U-Net with learnable skip connections:
  The case of medical image segmentation

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation

23 December 2023
Haonan Wang
Peng Cao
Xiaoli Liu
Jinzhu Yang
Osmar Zaiane
    MedIm
ArXivPDFHTML

Papers citing "Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation"

5 / 5 papers shown
Title
ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy
ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy
Ronghui Zhang
Dakang Lyu
Tengfei Li
Yunfan Wu
Ujjal Manandhar
Benfei Wang
Junzhou Chen
Bolin Gao
Danwei Wang
Yiqiu Tan
24
0
0
07 Apr 2025
FIPGNet:Pyramid grafting network with feature interaction strategies
FIPGNet:Pyramid grafting network with feature interaction strategies
Ziyi Ding
Like Xin
28
0
0
04 Jul 2024
Boundary-aware Transformers for Skin Lesion Segmentation
Boundary-aware Transformers for Skin Lesion Segmentation
Jiacheng Wang
Lan Wei
Liansheng Wang
Qichao Zhou
Lei Zhu
Jing Qin
ViT
MedIm
72
129
0
08 Oct 2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise
  Perspective with Transformer
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang
Peng Cao
Jiaqi Wang
Osmar R. Zaiane
MedIm
ViT
123
708
0
09 Sep 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
288
75,800
0
18 May 2015
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