Automatic delineation of malignancy in histopathological head and neck slides

BMC Bioinformatics

Volumn 8, Issue SUPPL. 7, 2007, Pages

  Mete, Mutlu ^a   Xu, Xiaowei ^a   Fan, Chun Yang ^b   Shafirstein, Gal ^b  

^a University of Arkansas   (United States)

^b UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; DETECTION PROBLEMS; HISTOLOGICAL IMAGES; IMAGING TECHNOLOGY; LABORATORY PROCEDURES; SQUAMOUS CELL CARCINOMA OF THE HEAD AND NECKS; SUPPORT VECTOR MACHINE (SVMS);

CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; IMAGING TECHNIQUES; SUPPORT VECTOR MACHINES; TISSUE;

DISEASES;

ALGORITHM; CANCER CLASSIFICATION; CANCER TISSUE; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; CONFERENCE PAPER; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HEAD AND NECK CARCINOMA; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MICROSCOPE; SQUAMOUS CELL CARCINOMA; SUPPORT VECTOR MACHINE; TISSUE SECTION; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; HEAD AND NECK TUMOR; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; HEAD AND NECK NEOPLASMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 38549086461     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-S7-S17     Document Type: Conference Paper

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