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Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image
  Segmentation

Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation

25 August 2021
Himashi Peiris
Zhaolin Chen
Gary Egan
Mehrtash Harandi
    GAN
ArXivPDFHTML

Papers citing "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"

12 / 12 papers shown
Title
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma
Honghui Du
Yu An
Jing Wang
Qinqin Wang
Haochang Wu
Aonghus Lawlor
Ruihai Dong
40
0
0
15 Apr 2025
Shape Transformation Driven by Active Contour for Class-Imbalanced
  Semi-Supervised Medical Image Segmentation
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
Yuliang Gu
Yepeng Liu
Zhichao Sun
Jinchi Zhu
Yongchao Xu
L. Najman
MedIm
31
1
0
18 Oct 2024
Dual-scale Enhanced and Cross-generative Consistency Learning for
  Semi-supervised Polyp Segmentation
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation
Yunqi Gu
Tao Zhou
Yizhe Zhang
Yi Zhou
Kelei He
Chen Gong
Huazhu Fu
43
4
0
26 Dec 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
45
12
0
10 Oct 2023
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram
  Video Segmentation
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
Ziyang Zheng
Jiewen Yang
Xinpeng Ding
Xiaowei Xu
Xiaomeng Li
26
3
0
20 Sep 2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge
  for Semi-Supervised Learning in Medical Image Segmentation
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation
Yizhe Zhang
Tao Zhou
Shuo Wang
Ye Wu
Pengfei Gu
Da Chen
38
10
0
26 Aug 2023
Semi-Supervised Medical Image Segmentation with Co-Distribution
  Alignment
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang
Zhongzheng Huang
Jiawei Wu
Yuanzheng Cai
Zuoyong Li
OOD
30
4
0
24 Jul 2023
Analysing the effectiveness of a generative model for semi-supervised
  medical image segmentation
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation
Margherita Rosnati
Fabio De Sousa Ribeiro
M. Monteiro
Daniel Coelho De Castro
Ben Glocker
GAN
MedIm
25
2
0
03 Nov 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
31
152
0
28 Jul 2022
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network
  for Surgical Tools Segmentation
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation
Ange Lou
Kareem O. Tawfik
X. Yao
Ziteng Liu
J. Noble
25
38
0
29 Mar 2022
Semi-supervised Medical Image Segmentation via Geometry-aware
  Consistency Training
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
Zihang Liu
Chunhui Zhao
27
4
0
12 Feb 2022
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
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