Color graphs for automated cancer diagnosis and grading

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 3, 2010, Pages 665-674

  Altunbay, Dogan ^a   Cigir, Celal ^a   Sokmensuer, Cenk ^b   Gunduz Demir, Cigdem ^a  

^a BILKENT UNIVERSITY   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Biomedical image processing; Cancer; Graph theory; Histopathological image analysis; Image representations; Medical diagnosis

Indexed keywords

AUTOMATED CANCER DIAGNOSIS; BIOMEDICAL IMAGE PROCESSING; CANCER DIAGNOSIS; CELL NUCLEUS; COLON TISSUES; COLOR GRAPHS; HISTOPATHOLOGICAL IMAGES; IMAGE REPRESENTATIONS; MEDICAL DIAGNOSIS; SPATIAL DISTRIBUTION; STRUCTURAL FEATURE; STRUCTURAL METHODS; TEST ACCURACY; TISSUE COMPONENTS;

COLOR; GRAPH THEORY; HISTOLOGY; IMAGE ANALYSIS; IMAGING SYSTEMS; TISSUE;

DIAGNOSIS;

ANALYTICAL PARAMETERS; ARTICLE; AUTOMATION; CANCER DIAGNOSIS; CANCER GRADING; COLON ADENOCARCINOMA; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL PARAMETERS;

ALGORITHMS; COLONIC NEOPLASMS; COLOR; DIAGNOSIS, COMPUTER-ASSISTED; HISTOCYTOCHEMISTRY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEOPLASM STAGING;

EID: 77649145914     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2033804     Document Type: Article

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