ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.08005
  4. Cited By
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

16 February 2021
Yundong Zhang
Huiye Liu
Qiang Hu
    ViT
    MedIm
ArXivPDFHTML

Papers citing "TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation"

4 / 54 papers shown
Title
Looking Outside the Window: Wide-Context Transformer for the Semantic
  Segmentation of High-Resolution Remote Sensing Images
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
L. Ding
Dong Lin
Shaofu Lin
Jing Zhang
Xiaojie Cui
Yuebin Wang
H. Tang
Lorenzo Bruzzone
ViT
21
97
0
29 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
569
0
27 May 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
54
1,533
0
18 Mar 2021
Improving Dermoscopic Image Segmentation with Enhanced
  Convolutional-Deconvolutional Networks
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
Yading Yuan
Y. Lo
134
224
0
28 Sep 2017
Previous
12