A hybrid learning approach to tissue recognition in wound images

International Journal of Intelligent Computing and Cybernetics

Volumn 2, Issue 2, 2009, Pages 327-347

  Veredas, Francisco J ^a   Mesa, Héctor ^b   Morente, Laura ^c  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b Hospital University Carlos Haya de Málaga   (Spain)

^c Escuela Universitaria de Enfermería   (Spain)

Author keywords

Electrical medical equipment; Histology; Image sensors

Indexed keywords

BAYESIAN; BAYESIAN CLASSIFIER; CLASSIFICATION EFFICIENCY; CLINICAL PROBLEMS; COLOR AND TEXTURE FEATURES; COMMITTEE MACHINES; CRITICAL TASKS; CROSS-VALIDATION METHODS; DESIGN/METHODOLOGY/APPROACH; ELECTRICAL MEDICAL EQUIPMENT; GLOBAL SOLUTIONS; HIGH COSTS; HIGH EFFICIENCY; HYBRID APPROACH; HYBRID LEARNING APPROACH; ILLUMINATION CONDITIONS; LOCALIZED DAMAGE; LOW FREQUENCY; MEAN SHIFT; MULTI-LAYER PERCEPTRONS; NON-HOMOGENEOUS DISTRIBUTION; PATTERN CLASS; PRESSURE ULCERS; REGION GROWING; REGION SEGMENTATION; SANITARY SYSTEMS; SEGMENTED REGIONS; TEXTURE PATTERNS; TRAINING PROCEDURES; TWO STAGE; VISUAL INSPECTION;

BIOLOGICAL RADIATION EFFECTS; COMPUTER VISION; DIGITAL IMAGE STORAGE; HISTOLOGY; IMAGE SENSORS; INFERENCE ENGINES; PATTERN RECOGNITION SYSTEMS; TEXTURES; TISSUE; VISUAL COMMUNICATION;

BAYESIAN NETWORKS;

EID: 77956059618     PISSN: 1756378X     EISSN: 17563798     Source Type: Journal    
DOI: 10.1108/17563780910959929     Document Type: Article

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