Multi-parametric 3D quantitative ultrasound vibro-elastography imaging for detecting palpable prostate tumors

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

Volumn 8673 LNCS, Issue PART 1, 2014, Pages 561-568

  Mohareri, Omid ^a   Ruszkowski, Angelica ^a   Lobo, Julio ^a   Ischia, Joseph ^a   Baghani, Ali ^b   Nir, Guy ^a   Eskandari, Hani ^a,b   Jones, Edward ^a   Fazli, Ladan ^a   Goldenberg, Larry ^a   Moradi, Mehdi ^a   Salcudean, Septimiu ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Ultrasonix Medical Corporation   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DISEASES; MEDICAL IMAGING; TUMORS; ULTRASONIC APPLICATIONS; VOLUMETRIC ANALYSIS; MEDICAL COMPUTING; TISSUE; UROLOGY;

MECHANICAL EXCITATIONS; PROSTATE CANCER DETECTION; QUANTITATIVE ULTRASOUNDS; RADICAL PROSTATECTOMY; RANDOM FOREST CLASSIFICATION; RECEIVER OPERATING CHARACTERISTIC CURVES; TRANSRECTAL ULTRASOUND; WHOLE-MOUNT HISTOPATHOLOGIES;

UROLOGY; MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELASTOGRAPHY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MULTIMODAL IMAGING; PALPATION; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MULTIMODAL IMAGING; PALPATION; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84909579373     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10404-1_70     Document Type: Conference Paper

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