Observer efficiency in discrimination tasks simulating malignant and benign breast lesions imaged with ultrasound

IEEE Transactions on Medical Imaging

Volumn 25, Issue 2, 2006, Pages 198-209

  Abbey, Craig K ^a,b   Zemp, Roger J ^c   Liu, Jie ^d   Lindfors, Karen K ^e   Insana, Michael F ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

^d University of Illinois at Urbana Champaign   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Breast sonography; Ideal observer; Image quality; Wiener filter

Indexed keywords

BIOLOGICAL ORGANS; IMAGE QUALITY; MATRIX ALGEBRA; NUMERICAL METHODS; PSYCHOPHYSIOLOGY; TUMORS; ULTRASONICS;

BREAST LESIONS; BREAST SONOGRAPHY; IDEAL OBSERVER; WIENER FILTER;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; DISCRIMINATION LEARNING; ECHOGRAPHY; ECHOMAMMOGRAPHY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; OBSERVER VARIATION; PATTERN RECOGNITION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DISCRIMINATION LEARNING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE AND ANALYSIS; ULTRASONOGRAPHY, MAMMARY;

EID: 31644443220     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.862205     Document Type: Article

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