A neurofuzzy methodology for the diagnosis of wireless-capsule endoscopie images

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

Volumn 3696 LNCS, Issue , 2005, Pages 647-652

  Kodogiannis, Vassilis ^a   Chowdrey, H S ^a  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; DIAGNOSIS; FEATURE EXTRACTION; FUZZY CONTROL; INFORMATION RETRIEVAL; MEDICAL IMAGING; MOBILE TELECOMMUNICATION SYSTEMS; NEURAL NETWORKS; NEUROLOGY; PARAMETER ESTIMATION;

COLOUR COMPONENT HISTOGRAMS; DETECTION SYSTEMS; NEUROFUZZY METHODOLOGY; WIRELESS-CAPSULE ENDOSCOPIE IMAGES;

ENDOSCOPY;

EID: 33646190917     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11550822_100     Document Type: Conference Paper

References (5)

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3. Boulougoura, M., Wadge, E., Kodogiannis, V., Chowdrey, H.S.: Intelligent systems for computer-assisted clinical endoscopic image analysis, 2nd IASTED Int. Conf. on Biomedical Engineering, Innsbruck, Austria, (2004) 405-408.
4. Kuncheva, L.I.: Fuzzy Classifier Design, Physica-Verlag, (2000).
5. Wadge, E., Kodogiannis, V.S.,: Intelligent diagnosis of UTI in vivo using gas sensor arrays, Int. Conf. on Neural Networks and Expert Systems in Medicine and HealthCare, NNESMED 2003, (2003) 93-98.