Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography

Proceedings - International Symposium on Biomedical Imaging

Volumn 2016-June, Issue , 2016, Pages 1359-1362

  Roy, Abhijit Guha ^a   Conjeti, Sailesh ^b   Carlier, Stephane G ^d   Houissa, Khalil ^d   Konig, Andreas ^b   Dutta, Pranab K ^a   Laine, Andrew F ^e   Navab, Nassir ^b,c   Katouzian, Amin ^b,f   Sheet, Debdoot ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c JOHNS HOPKINS UNIVERSITY   (United States)

^d UNIVERSITY OF MONS   (Belgium)

^e Och Spine at New York Presbyterian Hospitals   (United States)

^f IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

Autoencoders; intravascular optical coherence tomography; neural network; representation learning; tissue characterization

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COST FUNCTIONS; IMAGING TECHNIQUES; LEARNING SYSTEMS; MEDICAL IMAGING; NEURAL NETWORKS; SPECKLE; TISSUE; TOMOGRAPHY;

AUTOENCODERS; CLASSIFICATION ACCURACY; INTRAVASCULAR; MULTISCALE DISTRIBUTIONS; REPRESENTATION LEARNING; STATISTICAL DISTRIBUTION MODEL; STATISTICAL MACHINE LEARNING; TISSUE CHARACTERIZATION;

OPTICAL TOMOGRAPHY;

EID: 84978374655     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493519     Document Type: Conference Paper

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