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High-Resolution Swin Transformer for Automatic Medical Image
  Segmentation

High-Resolution Swin Transformer for Automatic Medical Image Segmentation

23 July 2022
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
    ViT
    OOD
    MedIm
ArXivPDFHTML

Papers citing "High-Resolution Swin Transformer for Automatic Medical Image Segmentation"

11 / 11 papers shown
Title
Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation
Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation
Farzan Moodi
Fereshteh Khodadadi Shoushtari
Gelareh Valizadeh
Dornaz Mazinani
Hanieh Mobarak Salari
Hamidreza Saligheh Rad
3DPC
82
0
0
26 Mar 2025
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
Tassilo Wald
Saikat Roy
Fabian Isensee
Constantin Ulrich
Sebastian Ziegler
D. Trofimova
Raphael Stock
Michael Baumgartner
Gregor Köhler
Klaus H. Maier-Hein
ViT
MedIm
42
1
0
03 Mar 2025
Cross Feature Fusion of Fundus Image and Generated Lesion Map for
  Referable Diabetic Retinopathy Classification
Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
Dahyun Mok
Junghyun Bum
Le Duc Tai
Hyunseung Choo
MedIm
29
0
0
06 Nov 2024
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography
  Angiography via Context-Aware Shifted Window Self-Attention
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention
Muhammad Imran
J. Krebs
Veera Rajasekhar Reddy Gopu
B. Fazzone
Vishal Balaji Sivaraman
...
R. Heithaus
B. Shickel
Yuyin Zhou
M. Cooper
Wei Shao
23
7
0
23 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
21
2
0
31 Dec 2023
Multiscale Progressive Text Prompt Network for Medical Image
  Segmentation
Multiscale Progressive Text Prompt Network for Medical Image Segmentation
Xianjun Han
Qianqian Chen
Zhaoyang Xie
Xuejun Li
Hongyu Yang
MedIm
11
8
0
30 Jun 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Optimized U-Net for Brain Tumor Segmentation
Optimized U-Net for Brain Tumor Segmentation
Michal Futrega
Alexandre Milesi
Michal Marcinkiewicz
Pablo Ribalta
SSeg
27
90
0
07 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
292
5,761
0
29 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,604
0
24 Feb 2021
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,516
0
20 Aug 2019
1