Title
Deep adversarial domain adaptation for breast cancer screening from mammograms
Abstract
•A deep domain adaptation method based on adversarial learning to transfer the knowledge of a public dataset to our target dataset.•A two stage method was developed to solve the different levels annotated datasets, i.e., the image level and the case level.•A real world case level dataset is constructed by collecting mammography images from a hospital.
Year
DOI
Venue
2021
10.1016/j.media.2021.102147
Medical Image Analysis
Keywords
DocType
Volume
Adversarial domain adaptation,Breast cancer screening,Mammography,Transfer learning
Journal
73
ISSN
Citations 
PageRank 
1361-8415
1
0.36
References 
Authors
0
6
Name
Order
Citations
PageRank
Yan Wang116439.53
Yangqin Feng210.70
Lei Zhang355242.05
Zizhou Wang410.36
Qing Lv581.22
Zhang Yi612113.45