Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease

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

Volumn 7512 LNCS, Issue , 2012, Pages 574-581

  Hämmerle Uhl, Jutta ^a   Höller, Yvonne ^a   Uhl, Andreas ^a   Vécsei, Andreas ^b  

^a UNIVERSITY OF SALZBURG   (Austria)

^b ST ANNA CHILDREN S HOSPITAL   (Austria)

Author keywords

Automated classification; Celiac disease; Endoscope distortion correction; Shape and edge based features

Indexed keywords

ENDOSCOPY; MEDICAL COMPUTING; MEDICAL IMAGING;

APPLICATION SCENARIO; AUTOMATED CLASSIFICATION; CELIAC DISEASE; CLASSIFICATION ACCURACY; DISTORTION CORRECTION; EDGE-BASED; FEATURE EXTRACTION TECHNIQUES;

IMAGE ENHANCEMENT;

ARTICLE; ARTIFACT; CELIAC DISEASE; COMPUTER ASSISTED DIAGNOSIS; GASTROINTESTINAL ENDOSCOPY; HUMAN; IMAGE ENHANCEMENT; INSTRUMENTATION; INTESTINE MUCOSA; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ARTIFACTS; CELIAC DISEASE; ENDOSCOPY, GASTROINTESTINAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INTESTINAL MUCOSA; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84872942930     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_71     Document Type: Conference Paper

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