Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7963, Issue , 2011, Pages

  Niaf, Emilie ^a,b   Rouvière, Olivier ^a,c   Lartizien, Carole ^b  

^a INSERM   (France)

^b UNIVERSITÉ DE LYON   (France)

^c EDOUARD HERRIOT HOSPITAL   (France)

Author keywords

computer aided diagnosis; feature selection; magnetic resonance imaging; multisequence integration; Prostate cancer; supervised learning

Indexed keywords

AREA UNDER THE ROC CURVE; COMPUTER ASSISTED DIAGNOSIS; CONTRAST-ENHANCED; DIAGNOSTIC PERFORMANCE; DYNAMIC PARAMETERS; FEATURE SELECTION; FEATURE SELECTION METHODS; FEATURE SETS; FIRST-ORDER STATISTICS; GOLD STANDARDS; GRADIENT FEATURE; GRAY LEVEL IMAGE; HUMAN EXPERT; K NEAREST NEIGHBOURS (K-NN); LINEAR DISCRIMINANT ANALYSIS; MR IMAGES; MULTISEQUENCE INTEGRATION; PHARMACOKINETIC MODELING; PROSTATE CANCER; PROSTATE CANCER DETECTION; PROSTATE CANCERS; QUANTITATIVE EVALUATION; RADICAL PROSTATECTOMY; ROC CURVES; SEMI-QUANTITATIVE; TEST BENCHES;

COMPUTER PERIPHERAL EQUIPMENT; DISCRIMINANT ANALYSIS; DISEASES; FEATURE EXTRACTION; HISTOLOGY; IMAGE RETRIEVAL; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING; RESONANCE; TISSUE; UROLOGY;

COMPUTER AIDED DIAGNOSIS;

EID: 79955763413     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.877231     Document Type: Conference Paper

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