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Volumn 13, Issue 4, 2009, Pages 535-545

A computational-intelligence-based approach for detection of exudates in diabetic retinopathy images

Author keywords

Fuzzy c means (FCMs); Gabor filters; Genetic algorithms (GAs); Neural networks; Retinal exudates; Thresolding

Indexed keywords

AUTOMATED IDENTIFICATION; CLASSIFICATION RESULTS; COLOR NORMALIZATION; COMPUTATIONAL INTELLIGENCE TECHNIQUES; CONTRAST ENHANCEMENT; DATA SETS; DIABETIC RETINOPATHY; FEATURE VECTORS; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS (FCMS); GABOR FILTERS; GENETIC-BASED ALGORITHMS; LARGE IMAGES; MEDICAL SYSTEMS; PIXEL LEVEL; PRE-PROCESSING STEP; PREDICTIVITY; RETINAL EXUDATES; RETINAL IMAGE; SEGMENTED IMAGES; SEGMENTED REGIONS; THRESOLDING;

EID: 67749088658     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2008.2007493     Document Type: Conference Paper
Times cited : (232)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.