Computer-aided detection of cancer in automated 3-D breast ultrasound

IEEE Transactions on Medical Imaging

Volumn 32, Issue 9, 2013, Pages 1698-1706

  Tan, Tao ^a   Platel, Bram ^b   Mus, Roel ^a   Tabar, Laszlo ^c   Mann, Ritse M ^a   Karssemeijer, Nico ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b FRAUNHOFER MEVIS   (Germany)

^c FALUN HOSPITAL   (Sweden)

Author keywords

Automated 3 D breast ultrasound; breast cancer; computer aided detection; region segmentation

Indexed keywords

AUTOMATED 3-D BREAST ULTRASOUNDS; BREAST CANCER; COMPUTER AIDED DETECTION SYSTEMS; COMPUTER-AIDED DETECTION; FREE-RESPONSE RECEIVERS; K-NEAREST NEIGHBORS; LINEAR DISCRIMINANTS; REGION SEGMENTATION;

AUTOMATION; DISEASES; FEATURE EXTRACTION; MAMMOGRAPHY; NEURAL NETWORKS; ULTRASONICS;

ULTRASONIC APPLICATIONS;

ALGORITHM; ARTICLE; AUTOMATION; BREAST CANCER; CANCER DIAGNOSIS; COMPUTER AIDED DESIGN; ECHOMAMMOGRAPHY; FALSE POSITIVE RESULT; FEMALE; HUMAN; MAJOR CLINICAL STUDY; NIPPLE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; THORAX WALL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BREAST NEOPLASMS; CLUSTER ANALYSIS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; ROC CURVE; ULTRASONOGRAPHY, MAMMARY;

EID: 84883352000     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2263389     Document Type: Article

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