Cell-graph mining for breast tissue modeling and classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5311-5314

  Bilgin, Cagatay ^a   Demir, Cigdem ^b   Nagi, Chandandeep ^c   Yener, Bulent ^a  

^a Rensselaer Polytechnic Institute   (United States)

^b BILKENT UNIVERSITY   (Turkey)

^c MOUNT SINAI MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; CHARACTERIZATION; DATA MINING; GRAPH THEORY; LEARNING SYSTEMS; TISSUE;

CANCER DIAGNOSIS; DELAUNAY TRIANGULATION; GLOBAL METRICS; K-MEANS ALGORITHMS;

ONCOLOGY;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BREAST; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMALE; HUMAN; METHODOLOGY; PATHOLOGY; SENSITIVITY AND SPECIFICITY;

ARTIFICIAL INTELLIGENCE; BREAST; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY;

EID: 57649229046     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353540     Document Type: Conference Paper

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