Classification of benign and malignant breast tumors using neural networks and three-dimensional power Doppler ultrasound

Ultrasound in Obstetrics and Gynecology

Volumn 32, Issue 1, 2008, Pages 97-102

  Kuo, S J ^a   Hsiao, Y H ^b   Huang, Y L ^c   Chen, D R ^a  

^a CHANGHUA CHRISTIAN HOSPITAL   (Taiwan)

^b CHANG JUNG CHRISTIAN UNIVERSITY   (Taiwan)

^c TUNGHAI UNIVERSITY   (Taiwan)

Author keywords

Flow index; Histogram analysis; Neural networks; Three dimensional power Doppler; Vascularization flow index; Vascularization index

Indexed keywords

ADOLESCENT; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; BREAST TUMOR; CALCULATION; CANCER CLASSIFICATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DOPPLER FLOWMETRY; FLOW INDEX; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; PATHOLOGY; PRIORITY JOURNAL; RATING SCALE; RECEIVER OPERATING CHARACTERISTIC; THREE DIMENSIONAL IMAGING; VASCULARIZATION FLOW INDEX; VASCULARIZATION INDEX;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BREAST NEOPLASMS; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER, COLOR; ULTRASONOGRAPHY, MAMMARY; YOUNG ADULT;

EID: 53149120863     PISSN: 09607692     EISSN: 14690705     Source Type: Journal    
DOI: 10.1002/uog.4103     Document Type: Article

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