Prediction of mouse senescence from HE-stain liver images using an ensemble SVM classifier

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7803 LNAI, Issue PART 2, 2013, Pages 325-334

  Huang, Hui Ling ^a   Hsu, Ming Hsin ^a   Lee, Hua Chin ^a   Charoenkwan, Phasit ^a   Ho, Shinn Jang ^b   Ho, Shinn Ying ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL FORMOSA UNIVERSITY   (Taiwan)

Author keywords

Aging; cellular senescence; feature selection; genetic algorithm; HE stain; image analysis; prediction; SVM

Indexed keywords

CELLULAR SENESCENCE; ENSEMBLE CLASSIFIERS; FEATURE SETS; GRAY LEVELS; HARALICK TEXTURE; HE-STAIN; IMAGE FEATURES; INTELLIGENT GENETIC ALGORITHM; LIVER IMAGES; MOLECULAR BASIS; MOLECULAR LEVELS; MORPHOLOGICAL FEATURES; MORPHOLOGICAL VARIATION; OPTIMAL SETS; SVM; SVM CLASSIFIERS; TEST ACCURACY; TEST IMAGES; TRAINING IMAGE;

AGING OF MATERIALS; DATABASE SYSTEMS; FEATURE EXTRACTION; FORECASTING; GENETIC ALGORITHMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAMMALS; TEXTURES;

SUPPORT VECTOR MACHINES;

EID: 84874626585     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36543-0_34     Document Type: Conference Paper

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