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DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral
  Mammograms using Self-adversarial Learning

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning

6 July 2023
Xin Eric Wang
T. Tan
Yuan Gao
Luyi Han
Tianyu Zhang
Chun-Fang Lu
R. Beets-Tan
Ruisheng Su
R. Mann
    MedIm
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Papers citing "DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning"

3 / 3 papers shown
Title
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP)
  for Enhanced Breast Cancer Diagnosis with Multi-view Mammography
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography
Xuxin Chen
Yuheng Li
Mingzhe Hu
Ella Salari
Xiaoqian Chen
Richard L. J. Qiu
Bin Zheng
Xiaofeng Yang
VLM
36
6
0
24 Apr 2024
Multi-view Local Co-occurrence and Global Consistency Learning Improve
  Mammogram Classification Generalisation
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
Yuanhong Chen
Hu Wang
Chong Wang
Yu Tian
Fengbei Liu
M. Elliott
Davis J. McCarthy
Helen Frazer
G. Carneiro
73
19
0
21 Sep 2022
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass
  Detection
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
Zi-Long Zhao
Dong Wang
Yihong Chen
Ziteng Wang
Liwei Wang
MedIm
33
6
0
13 Sep 2022
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