The Perception of Breast Cancers - A Spatial Frequency Analysis of What Differentiates Missed from Reported Cancers

IEEE Transactions on Medical Imaging

Volumn 22, Issue 10, 2003, Pages 1297-1306

  Mello Thoms, Claudia ^a,b   Dunn, Stanley M ^c   Nodine, Calvin F ^a   Kundel, Harold L ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

Breast cancer detection; Computer assisted perception (CAP); Wavelet packets (WPs)

Indexed keywords

COMPUTER AIDED ANALYSIS; IMAGE ANALYSIS; RADIOLOGY; TUMORS;

WAVELET PACKETS (WP);

MAMMOGRAPHY;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BREAST TUMOR; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; DIAGNOSTIC ERROR; EVALUATION; HUMAN; METHODOLOGY; OBSERVER VARIATION; PHYSIOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY; VISION;

ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; DIAGNOSTIC ERRORS; HUMANS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VISUAL PERCEPTION;

EID: 0041343296     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2003.817784     Document Type: Article

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