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Annotation-Efficient Learning for Medical Image Segmentation based on
  Noisy Pseudo Labels and Adversarial Learning

Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning

29 December 2020
Lu Wang
D. Guo
Guotai Wang
Shaoting Zhang
    MedImGAN
ArXiv (abs)PDFHTML

Papers citing "Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning"

4 / 4 papers shown
Title
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
M. C. Fiorentino
Francesca Pia Villani
M. D. Cosmo
Emanuele Frontoni
S. Moccia
57
110
0
28 Jan 2022
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
122
43
0
07 Jul 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Jicong Zhang
SSL
110
40
0
08 Mar 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
135
34
0
19 Jan 2021
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