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Enhancing Generative Networks for Chest Anomaly Localization through
  Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data
  Translation

Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation

21 July 2022
Kyungsu Kim
S. Oh
Chae Yeon Lim
J. Lee
Tae Uk Kim
M. Chung
    MedIm
ArXivPDFHTML

Papers citing "Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation"

3 / 3 papers shown
Title
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong
Chenyu Lian
Detian Huang
Zhenjiang Li
Yanle Hu
Qichao Zhou
GAN
MedIm
56
136
0
13 Oct 2021
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
J. Wolleb
Robin Sandkühler
Philippe C. Cattin
189
21
0
28 Jul 2020
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
1