An image analysis method for prostate tissue classification: Preliminary validation with resonance sensor data

Journal of Medical Engineering and Technology

Volumn 33, Issue 1, 2009, Pages 18-24

  Lindberg, P L ^a   Andersson, B M ^a   Bergh, A ^a   Ljungberg, B ^a   Lindahl, O A ^a,b  

^a UMEÅ UNIVERSITY   (Sweden)

^b LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

Image analysis; Partial least square; Prostate cancer; Resonance sensor; Stiffness

Indexed keywords

CLASSIFICATION METHODS; CLASSIFICATION TIMES; EPITHELIAL TISSUES; IMAGE ANALYSIS METHODS; IMPRESSION DEPTHS; IN VITRO; LINEAR RELATIONSHIPS; MULTIPLE LINEAR REGRESSIONS; PARTIAL LEAST SQUARE; PROCESSING TIMES; PROSTATE CANCER; PROSTATE TISSUES; RESONANCE SENSOR; RISK OF HUMAN ERRORS; TISSUE CLASSIFICATIONS;

CURVE FITTING; DRUG PRODUCTS; ERRORS; IMAGE ANALYSIS; RESONANCE; RISK ANALYSIS; SENSORS; STIFFNESS;

TISSUE;

ADULT; ARTICLE; CALCULATION; CLINICAL ARTICLE; CONTROLLED STUDY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; MORPHOMETRICS; MULTIPLE LINEAR REGRESSION ANALYSIS; NUCLEAR MAGNETIC RESONANCE; PROSTATE; SENSORY ANALYSIS; TISSUE STRUCTURE; TISSUE TYPING; VALIDATION STUDY;

ALGORITHMS; DIAGNOSTIC IMAGING; EQUIPMENT DESIGN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MALE; MULTIVARIATE ANALYSIS; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 58149265072     PISSN: 03091902     EISSN: 1464522X     Source Type: Journal    
DOI: 10.1080/03091900801945200     Document Type: Article

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