Learning contextual relationships in mammograms using a hierarchical pyramid neural network

IEEE Transactions on Medical Imaging

Volumn 21, Issue 3, 2002, Pages 239-250

  Sajda, Paul ^a,b,c   Spence, Clay ^a,d   Pearson, John ^d  

^a IEEE   (United States)

^b SARNOFF CORPORATION   (United States)

^c Columbia University ^*  (United States)

^d Sarnoff Research Center   (United States)

Author keywords

Computer aided diagnosis; Context; Hierarchical pyramid neural network; Mammography

Indexed keywords

FALSE POSITIVE REGIONS; HIERARCHICAL PYRAMID NEURAL NETWORK; MAMMOGRAMS; MASS DETECTION; MICROCALCIFICATION; OBJECT POSITION ERROR FUNCTION;

ALGORITHMS; CALCIFICATION (BIOCHEMISTRY); COMPUTER AIDED DIAGNOSIS; HIERARCHICAL SYSTEMS; NEURAL NETWORKS; OBJECT RECOGNITION; SENSITIVITY ANALYSIS;

MAMMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST DISEASE; CALCINOSIS; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; HUMAN; LABORATORY DIAGNOSIS; MAMMOGRAPHY; METHODOLOGY; OBSERVER VARIATION; RADIOGRAPHY; REPRODUCIBILITY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; BREAST DISEASES; CALCINOSIS; DATABASES, FACTUAL; FALSE POSITIVE REACTIONS; HUMANS; MAMMOGRAPHY; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 0036489381     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.996342     Document Type: Article

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