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. 2203.02106
  4. Cited By
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network
  and Dynamically Mixed Pseudo Labels Supervision

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

4 March 2022
Xiangde Luo
Minhao Hu
Wenjun Liao
Shuwei Zhai
Tao Song
Guotai Wang
Shaoting Zhang
ArXivPDFHTML

Papers citing "Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision"

3 / 53 papers shown
Title
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from
  Medical Images Using Deep Learning
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Xiangde Luo
Guotai Wang
Tao Song
Jingyang Zhang
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
43
96
0
25 Apr 2021
SenseCare: A Research Platform for Medical Image Informatics and
  Interactive 3D Visualization
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Qi Duan
Guotai Wang
Rui Wang
Chaohao Fu
Xinjun Li
...
Xinglong Liu
Qing Xia
Zhiqiang Hu
Ning Huang
Shaoting Zhang
14
18
0
03 Apr 2020
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
244
1,279
0
06 Mar 2017
Previous
12