Title
Selective synthetic augmentation with HistoGAN for improved histopathology image classification
Abstract
•A novel conditional GAN for synthesizing realistic histopathology images.•Selective synthetic data augmentation with model and image selection.•Extensive experiments show superior results on two histopathology image datasets.•Proposed method can be adapted to other histopathology image analysis tasks.
Year
DOI
Venue
2021
10.1016/j.media.2020.101816
Medical Image Analysis
Keywords
DocType
Volume
Histopathology image classification,Medical image synthesis,Synthetic data augmentation
Journal
67
ISSN
Citations 
PageRank 
1361-8415
2
0.38
References 
Authors
27
10
Name
Order
Citations
PageRank
Yuan Xue185.21
Jiarong Ye220.38
Qianying Zhou320.38
L. Rodney Long453456.98
Sameer Antani51402134.03
Zhiyun Xue624522.97
Carl Cornwell720.38
Richard Zaino820.38
Keith C. Cheng953.13
Xiaolei Huang1020.38