Non-Binary coding for texture descriptors in sub-cellular and stem cell image classification

Current Bioinformatics

Volumn 8, Issue 2, 2013, Pages 208-219

  Paci, Michelangelo ^a   Nanni, Loris ^b   Lahti, Anna ^c   Aalto Setälä, Katriina ^c,d   Hyttinen, Jari ^c   Severi, Stefano ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^d TAMPERE UNIVERSITY HOSPITAL   (Finland)

Author keywords

Machine learning; Non binary coding; Stem cell image; Sub cellular image; Support vector machine; Texture descriptors

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; IMAGE CODING; IMAGE TEXTURE; LOCAL BINARY PATTERN; MATLAB; STEM CELLS; VECTOR QUANTIZATION; VECTORS;

BINARY CODING; CELL IMAGES; CELLULAR IMAGE; MACHINE-LEARNING; NON-BINARY; NON-BINARY CODING; STEM CELL IMAGE; STEM-CELL; SUB-CELLULAR; SUB-CELLULAR IMAGE; SUPPORT VECTORS MACHINE; TEXTURE DESCRIPTORS;

SUPPORT VECTOR MACHINES;

ARTICLE; CODING ALGORITHM; EMBRYONIC STEM CELL; FLUORESCENCE MICROSCOPY; HEART MUSCLE CELL; HUMAN; HUMAN CELL; LOCAL BINARY PATTERN OPERATOR; LOCAL PHASE QUANTIZATION OPERATOR; MACHINE LEARNING; PRIORITY JOURNAL; RANDOM SUBSPACE OF SUPPORT VECTOR MACHINE; STAND ALONE SUPPORT VECTOR MACHINE; SUPPORT VECTOR MACHINE;

EID: 84874917268     PISSN: 15748936     EISSN: None     Source Type: Journal    
DOI: 10.2174/1574893611308020009     Document Type: Article

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