Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 711-714

  Han, Ju ^a   Chang, Hang ^a   Loss, Leandro ^a   Zhang, Kai ^a   Baehner, Fredrick L ^a   Gray, Joe W ^a   Spellman, Paul ^a   Parvin, Bahram ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

dictionary learning; Histology sections; kernel methods; sparse coding

Indexed keywords

APOPTOTIC; BIOLOGICAL VARIATION; COLOR SPACE; COMPARATIVE ANALYSIS; DICTIONARY LEARNING; GAUSSIANS; GLIOBLASTOMA MULTIFORME; GLOBAL SCALE; HISTOLOGICAL SECTION; IMAGE PATCHES; INVARIANT FEATURES; KERNEL DISCRIMINANT ANALYSIS; KERNEL METHODS; LAPLACIANS; REDUNDANT REPRESENTATION; SAMPLE PREPARATION; SPARSE CODING;

DISCRIMINANT ANALYSIS; HISTOLOGY; TISSUE;

MEDICAL IMAGING;

EID: 80055060650     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872505     Document Type: Conference Paper

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