Automatic classification for pathological prostate images based on fractal analysis

IEEE Transactions on Medical Imaging

Volumn 28, Issue 7, 2009, Pages 1037-1050

  Huang, Po Whei ^a   Lee, Cheng Hsiung ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Classification; Fractal dimension; Gleason grading; Prostate image; Prostatic carcinoma

Indexed keywords

AUTOMATIC CLASSIFICATION; BAYESIAN; CLASSIFICATION; CLASSIFICATION RATES; COMPUTER-AIDED SYSTEMS; CROSS VALIDATION; FEATURE EXTRACTION METHODS; FEATURE SETS; FORWARD SELECTION; FRACTAL ANALYSIS; GABOR FILTER; GLEASON GRADING; GRAY LEVEL CO-OCCURRENCE MATRIX; LEAVE-ONE-OUT; MULTI-WAVELETS; PATHOLOGICAL IMAGES; PROSTATE IMAGE; PROSTATE IMAGES; PROSTATE TISSUE; PROSTATIC CARCINOMA; REGIONS OF INTEREST; SVM CLASSIFIERS; TEXTURE COMPLEXITY; TREATMENT PLANNING;

AUTOMATIC INDEXING; BAYESIAN NETWORKS; CLASSIFIERS; FEATURE EXTRACTION; GRADING; IMAGE PROCESSING; PARTIAL DISCHARGES; SUPPORT VECTOR MACHINES;

FRACTAL DIMENSION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; CANCER STAGING; CYTOCHEMISTRY; FRACTAL ANALYSIS; HUMAN; MALE; METHODOLOGY; MICROSCOPY; PATHOLOGY; PROSTATE TUMOR; REPRODUCIBILITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; FRACTALS; HISTOCYTOCHEMISTRY; HUMANS; MALE; MICROSCOPY; NEOPLASM STAGING; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS;

EID: 67649515593     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2012704     Document Type: Article

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