Ensemble based system for whole-slide prostate cancer probability mapping using color texture features

Computerized Medical Imaging and Graphics

Volumn 35, Issue 7-8, 2011, Pages 629-645

  DiFranco, Matthew D ^a   O'Hurley, Gillian ^b   Kay, Elaine W ^b,c   Watson, R William G ^a   Cunningham, Padraig ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b ROYAL COLLEGE OF SURGEONS IN IRELAND   (Ireland)

^c BEAUMONT HOSPITAL   (Ireland)

Author keywords

Digital pathology; Ensemble classification; Histology; Prostate cancer detection; Random forest feature selection

Indexed keywords

CLASSIFICATION RESULTS; CO-OCCURRENCE; COLOR TEXTURE FEATURES; DIGITAL PATHOLOGY; ENSEMBLE CLASSIFICATION; ENSEMBLE LEARNING; ENSEMBLES OF CLASSIFIERS; FEATURE SELECTION AND CLASSIFICATION; HISTOLOGICAL SECTION; IMAGE FEATURES; IMAGING MODALITY; PROBABILITY MAPPING; PROBABILITY MAPS; PROSTATE CANCER DETECTION; PROSTATE CANCERS; PROSTATIC CARCINOMA; RADICAL PROSTATECTOMY; RANDOM FORESTS; SAMPLE SELECTION; SPATIAL FILTERINGS; TEXTURE FEATURES; TRAINING DATA; TRAINING IMAGE; TRAINING SETS;

COMPUTER GRAPHICS; DECISION TREES; DISEASES; PROBABILITY; TEXTURES; UROLOGY;

FEATURE EXTRACTION;

ARTICLE; CANCER DIAGNOSIS; CLASSIFICATION; DIGITAL PATHOLOGY; ENSEMBLE CLASSIFICATION; GLEASON SCORE; HISTOLOGY; HUMAN; IMAGE ANALYSIS; LEARNING; MALE; PATHOLOGY; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATECTOMY; RANDOM FOREST FEATURE SELECTION; SCORING SYSTEM; SUPPORT VECTOR MACHINE;

ALGORITHMS; COLOR; HISTOLOGICAL TECHNIQUES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS;

EID: 80052326077     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2010.12.005     Document Type: Article

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