An image retrieval approach to setup difficulty levels in training systems for endomicroscopy diagnosis

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 480-487

  André, Barbara ^a,b   Vercauteren, Tom ^a   Buchner, Anna M ^c   Shahid, Muhammad Waseem ^d   Wallace, Michael B ^d   Ayache, Nicholas ^b  

^a Mauna Kea Technologies   (France)

^b INRIA   (France)

^c HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

^d MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BARRETT'S ESOPHAGUS; CLINICAL DATABASE; COLONIC POLYPS; CONTENT-BASED VIDEO RETRIEVAL; DATA SETS; EXPERT USERS; GENERICITY; GROUND TRUTH; LEARNING CURVES; MEDICAL IMAGES; RETRIEVAL METHODS; STATE-OF-THE-ART METHODS; STATISTICAL SIGNIFICANCE; TRAINING SYSTEMS; VISUAL SIMILARITY;

IMAGE RETRIEVAL; MEDICAL COMPUTING;

MEDICAL IMAGING;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CAPSULE ENDOSCOPY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; HOSPITAL INFORMATION SYSTEM; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TEACHING;

ARTIFICIAL INTELLIGENCE; CAPSULE ENDOSCOPY; COMPUTER-ASSISTED INSTRUCTION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MICROSCOPY, VIDEO; PATTERN RECOGNITION, AUTOMATED; RADIOLOGY INFORMATION SYSTEMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 84855447768     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_59     Document Type: Conference Paper

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