Classification of histology sections via multispectral convolutional sparse coding

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3081-3088

  Zhou, Yin ^a   Chang, Hang ^c,d   Barner, Kenneth ^a   Spellman, Paul ^b   Parvin, Bahram ^c,d  

^a UNIVERSITY OF DELAWARE   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; DATA VISUALIZATION; HISTOLOGY; MEDICAL IMAGING; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

BIOLOGICAL COMPONENTS; BIOMEDICAL IMAGING; CONVOLUTION FILTERS; FEATURE REPRESENTATION; IMAGE-BASED CLASSIFICATION; SPATIAL PYRAMID MATCHING; TARGETS OF INTEREST; UNSUPERVISED FEATURE LEARNING;

LEARNING SYSTEMS;

EID: 84911451297     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.394     Document Type: Conference Paper

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