Ultrasound RF time series for classification of breast lesions

IEEE Transactions on Medical Imaging

Volumn 34, Issue 2, 2015, Pages 652-661

  Uniyal, Nishant ^a   Eskandari, Hani ^b   Abolmaesumi, Purang ^a   Sojoudi, Samira ^a   Gordon, Paula ^a   Warren, Linda ^a   Rohling, Robert N ^a   Salcudean, Septimiu E ^a   Moradi, Mehdi ^c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Analogic Ultrasound at Ultrasonix Medical ULC ^*  (Canada)

^c IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

Biopsy; computer aided diagnosis; support vector machines; time series analysis; ultrasonic imaging

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOPSY; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DECISION SUPPORT SYSTEMS; DECISION TREES; HARMONIC ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAMMOGRAPHY; SUPPORT VECTOR MACHINES; ULTRASONIC IMAGING;

CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; CONFIDENCE INTERVAL; LIKELIHOOD OF MALIGNANCY; MAMMOGRAPHY SCREENING; RECEIVER OPERATING CHARACTERISTICS; TIME SERIES FEATURES; TIME SERIES METHOD;

TIME SERIES ANALYSIS;

ARTICLE; BREAST CARCINOMA; BREAST FIBROADENOMA; BREAST LESION; CLINICAL ARTICLE; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DIAGNOSTIC ACCURACY; ECHOGRAPHY; HUMAN; HUMAN TISSUE; NEEDLE BIOPSY; POWER SPECTRUM; QUANTITATIVE ANALYSIS; RADIOFREQUENCY; RANDOM FOREST; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS; TISSUE TYPING; TUMOR VOLUME; ULTRASOUND RADIO FREQUENCY TIME SERIES ANALYSIS; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC USE; ECHOMAMMOGRAPHY; FEMALE; PROCEDURES; RADIOFREQUENCY RADIATION;

BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIO WAVES; SUPPORT VECTOR MACHINES; ULTRASONOGRAPHY, MAMMARY;

EID: 84922262509     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2365030     Document Type: Article

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