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Semi-supervised few-shot learning for medical image segmentation

Semi-supervised few-shot learning for medical image segmentation

18 March 2020
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
ArXivPDFHTML

Papers citing "Semi-supervised few-shot learning for medical image segmentation"

12 / 12 papers shown
Title
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image
  Segmentation
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
Songkai Sun
Qingshan She
Yuliang Ma
Rihui Li
Yingchun Zhang
MedIm
36
0
0
11 Apr 2024
Self-Prompting Large Vision Models for Few-Shot Medical Image
  Segmentation
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation
Qi Wu
Yuyao Zhang
Marawan Elbatel
VLM
MedIm
32
34
0
15 Aug 2023
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
28
265
0
27 Nov 2022
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin
  Lesion Segmentation
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
Ehsan Khodapanah Aghdam
Reza Azad
Maral Zarvani
Dorit Merhof
ViT
SSeg
MedIm
29
47
0
30 Oct 2022
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical
  Image Segmentation
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Reza Azad
Moein Heidari
M. Shariatnia
Ehsan Khodapanah Aghdam
Sanaz Karimijafarbigloo
Ehsan Adeli
Dorit Merhof
ViT
MedIm
25
94
0
01 Aug 2022
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism
  for a Deep Segmentation Model
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model
Reza Azad
Mohammad T. Al-Antary
Moein Heidari
Dorit Merhof
ViT
MedIm
30
72
0
27 Jul 2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers
  for Medical Image Segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
Moein Heidari
A. Kazerouni
Milad Soltany Kadarvish
Reza Azad
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
MedIm
ViT
25
178
0
18 Jul 2022
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task
  Deep Network for Medical Image Semantic Segmentation
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
Binod Bhattarai
Ronast Subedi
Rebati Gaire
E. Vazquez
Danail Stoyanov
OOD
16
42
0
02 Apr 2022
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
27
14
0
26 Aug 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 Jul 2021
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Aniket Pramanik
Xiaodong Wu
M. Jacob
3DV
21
5
0
19 May 2021
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells
  Segmentation in Microscopic Images
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
Afshin Bozorgpour
Reza Azad
E. Showkatian
Alaa Sulaiman
36
30
0
13 May 2021
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