Co-occurrence analysis for discovery of novel breast cancer pathology patterns

IEEE Transactions on Information Technology in Biomedicine

Volumn 10, Issue 3, 2006, Pages 497-503

  Maskery, Susan M ^a   Zhang, Yonghong ^a   Jordan, Rick M ^a   Hu, Hai ^a   Hooke, Jeffrey A ^b   Shriver, Craig D ^b   Liebman, Michael N ^a  

^a WINDBER RESEARCH INSTITUTE   (United States)

^b WALTER REED ARMY MEDICAL CENTER   (United States)

Author keywords

Biomedical informatics; Breast cancer; Co occurrence analysis; Pathology

Indexed keywords

ALGORITHMS; BIOTECHNOLOGY; DATABASE SYSTEMS; GENES; PATHOLOGY;

BIOMEDICAL INFORMATICS; BREAST CANCER; BREAST PATHOLOGY; CO-OCCURRENCE ANALYSIS; PATHOLOGY PATTERNS;

ONCOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOPSY; BREAST TUMOR; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; FEMALE; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOPSY; BREAST NEOPLASMS; CLUSTER ANALYSIS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 33746894511     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2005.863863     Document Type: Article

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