Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images

Technology in Cancer Research and Treatment

Volumn 12, Issue 6, 2013, Pages 545-557

  Pareek, Gyan ^a   Rajendra Acharya, U ^b,c   Vinitha Sree, S ^d   Swapna, G ^e   Yantri, Ratna ^b   Martis, Roshan Joy ^b   Saba, Luca ^f   Krishnamurthi, Ganapathy ^g   Mallarini, Giorgio ^f   El Baz, Ayman ^h   Al Ekish, Shadi ^a   Beland, Michael ^a   Suri, Jasjit S ^d,i  

^a BROWN UNIVERSITY   (United States)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c UNIVERSITY OF MALAYA   (Malaysia)

^d Global Biomedical Technologies Inc   (United States)

^e Government Engineering College   (India)

^f DEPARTMENT OF RADIOLOGY   (Italy)

^g MAYO CLINIC   (United States)

^h University of Louisville   (United States)

ⁱ IDAHO STATE UNIVERSITY   (United States)

Author keywords

Accuracy; Classification; Discrete wavelet transform; Features; Higher order spectra; Prostate cancer; Transrectal ultrasound

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

ARTICLE; CANCER CLASSIFICATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; FUZZY SYSTEM; HUMAN; HUMAN TISSUE; INSTRUMENT VALIDATION; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PROSTATE BIOPSY; PROSTATE CANCER; RADIOIMMUNOASSAY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; TISSUE CHARACTERIZATION; TRAINING; TRANSRECTAL ULTRASONOGRAPHY; UROIMAGE; WAVELET ANALYSIS;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PROSTATE; PROSTATIC NEOPLASMS; RECTUM; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES;

EID: 84887062679     PISSN: 15330346     EISSN: None     Source Type: Journal    
DOI: 10.7785/tcrt.2012.500346     Document Type: Article

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