Hybrid image summarization by hypergraph partition

2013 ◽  
Vol 119 ◽  
pp. 41-48 ◽  
Author(s):  
Minxian Li ◽  
Chunxia Zhao ◽  
Jinhui Tang
2012 ◽  
Vol 32 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Li Tan ◽  
Yangqiu Song ◽  
Shixia Liu ◽  
Lexing Xie

2020 ◽  
Vol 10 (18) ◽  
pp. 6427
Author(s):  
Helge Hecht ◽  
Mhd Hasan Sarhan ◽  
Vlad Popovici

A novel deep autoencoder architecture is proposed for the analysis of histopathology images. Its purpose is to produce a disentangled latent representation in which the structure and colour information are confined to different subspaces so that stain-independent models may be learned. For this, we introduce two constraints on the representation which are implemented as a classifier and an adversarial discriminator. We show how they can be used for learning a latent representation across haematoxylin-eosin and a number of immune stains. Finally, we demonstrate the utility of the proposed representation in the context of matching image patches for registration applications and for learning a bag of visual words for whole slide image summarization.


2019 ◽  
Author(s):  
Gordon Christie ◽  
Ryan Amundsen ◽  
Scott Almes ◽  
Brant Chee ◽  
Madhurya Mahajan ◽  
...  

2011 ◽  
Vol 33 (6) ◽  
pp. 1266-1273 ◽  
Author(s):  
Yuchi Huang ◽  
Qingshan Liu ◽  
Fengjun Lv ◽  
Yihong Gong ◽  
Dimitris N Metaxas

2012 ◽  
Vol 23 (3-4) ◽  
pp. 417-424 ◽  
Author(s):  
Hwan-Jik Lee ◽  
Hyun Joon Shin ◽  
Jung-Ju Choi

2010 ◽  
Vol 19 (4) ◽  
pp. 605-633 ◽  
Author(s):  
Martin Dyer ◽  
Leslie Ann Goldberg ◽  
Mark Jerrum

Author(s):  
Vasu Sharma ◽  
Akshay Kumar ◽  
Nishant Agrawal ◽  
Puneet Singh ◽  
Rajat Kulshreshtha

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