Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning

Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017

Volumn 2018-January, Issue , 2017, Pages 49-55

  Sailem, Heba ^a   Arias Garcia, Mar ^b   Bakal, Chris ^b   Zisserman, Andrew ^a   Rittscher, Jens ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; NEURAL NETWORKS;

BIOLOGICAL PHENOTYPES; CELLULAR PHENOTYPES; CELLULAR RESPONSE; CONVOLUTIONAL NEURAL NETWORK; HIGH THROUGHPUT; LEARNING APPROACH; LOCALIZATION INFORMATION; SYNTHETIC DATASETS;

DEEP LEARNING;

EID: 85046293226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2017.13     Document Type: Conference Paper

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