Automated colorectal cancer diagnosis for whole-slice histopathology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7512 LNCS, Issue , 2012, Pages 550-557

  Kalkan, Habil ^a,c   Nap, Marius ^b   Duin, Robert P W ^a   Loog, Marco ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Zuyderland Medical Centre   (Netherlands)

^c SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; MEDICAL COMPUTING; MEDICAL IMAGING;

CLASSIFICATION ACCURACY; CLASSIFICATION SCHEME; COLORECTAL CANCER; COLORECTAL CANCER DIAGNOSIS; COMPUTATIONAL ANALYSIS; HISTOPATHOLOGICAL DIAGNOSIS; LINEAR CLASSIFIERS; STRUCTURAL FEATURE;

DISEASES;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COLORECTAL TUMOR; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MICROSCOPY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLORECTAL NEOPLASMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84872908665     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_68     Document Type: Conference Paper

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