Deep convolutional Triplet network for quantitative medical image analysis with comparative case study of gamma image classification

Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

Volumn 2017-January, Issue , 2017, Pages 1119-1122

  Thammasorn, Phawis ^a   Chaovalitwongse, Wanpracha Art ^a   Wootton, Landon ^b   Ford, Eric ^b   Nyflot, Matthew ^b  

^a University of Arkansas   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

formatting; insert; style; styling

Indexed keywords

BIOINFORMATICS; CONVOLUTION; DEEP NEURAL NETWORKS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MEDICAL IMAGING; NEURAL NETWORKS;

CLASSIFICATION TASKS; DEEP CONVOLUTIONAL NEURAL NETWORKS; EXTRACTING FEATURES; FORMATTING; INSERT; QUANTITATIVE IMAGE ANALYSIS; STYLE; STYLING;

CLASSIFICATION (OF INFORMATION);

EID: 85046023297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2017.8217813     Document Type: Conference Paper

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