Computer-Aided Diagnosis for the Classification of Breast Masses in Automated Whole Breast Ultrasound Images

Ultrasound in Medicine and Biology

Volumn 37, Issue 4, 2011, Pages 539-548

  Moon, Woo Kyung ^a   Shen, Yi Wei ^b   Huang, Chiun Sheng ^c   Chiang, Li Ren ^b   Chang, Ruey Feng ^b  

^a Seoul National University Hospital   (South Korea)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

Automated whole breast ultrasound; Breast cancer; Computer aided diagnosis; Ellipsoid fitting; Logistic regression model

Indexed keywords

AREA UNDER THE ROC CURVE; BENIGN AND MALIGNANT TUMORS; BREAST CANCER; BREAST MASS; BREAST TUMOR; BREAST ULTRASOUND; COMPUTER-AIDED DIAGNOSIS SYSTEM; DATA SETS; ELLIPSOID FITTING; FEATURE EXTRACTION AND CLASSIFICATION; LEVEL SETS; LOGISTIC REGRESSION MODEL; LOGISTIC REGRESSION MODELS; MANN-WHITNEY U TEST; RECEIVER OPERATING CHARACTERISTIC CURVE ANALYSIS; ROC CURVES; SEGMENTATION METHODS; SHAPE FEATURES; STATISTICAL ANALYSIS; T-TESTS; TEXTURE FEATURES;

AUTOMATION; CURVE FITTING; DISEASES; FEATURE EXTRACTION; REGRESSION ANALYSIS; TEXTURES; THREE DIMENSIONAL; TUMORS; ULTRASONICS;

COMPUTER AIDED DIAGNOSIS;

ADULT; AGED; ARTICLE; AUTOMATION; BENIGN TUMOR; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ECHOGRAPHY; FEMALE; HUMAN; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEM; MALE; MALIGNANT NEOPLASTIC DISEASE; PREDICTIVE VALUE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; TUMOR CLASSIFICATION; TUMOR DIAGNOSIS; TUMOR VOLUME;

ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, MAMMARY; YOUNG ADULT;

EID: 79952713737     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2011.01.006     Document Type: Article

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