Classification of tumor histopathology via sparse feature learning

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 410-413

  Nayak, Nandita ^a   Chang, Hang ^a   Borowsky, Alexander ^b   Spellman, Paul ^a   Parvin, Bahram ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

feature learning; sparse coding; Tumor characterization; whole slide imaging

Indexed keywords

FEATURE LEARNING; GLIOBLASTOMA MULTIFORME; INTRINSIC FEATURES; RESTRICTED BOLTZMANN MACHINE; SPARSE CODING; TUMOR CHARACTERIZATION; WHOLE SLIDE IMAGES; WHOLE SLIDE IMAGING (WSI);

HISTOLOGY; MEDICAL IMAGING;

TUMORS;

EID: 84881642017     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556499     Document Type: Conference Paper

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