Support vector machine based method for identifying hard exudates in retinal images

Proceedings - 2009 IEEE Youth Conference on Information, Computing and Telecommunication, YC-ICT2009

Volumn , Issue , 2009, Pages 138-141

  Xu, Lili ^a   Luo, Shuqian ^a  

^a CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

Feature extraction; Hard exudates; Support vector machine (SVM)

Indexed keywords

CLASSIFICATION ACCURACY; DIABETIC RETINOPATHY; EARLY DETECTION; FEATURE COMBINATION; GAUSSIAN RADIAL BASIS FUNCTIONS; GRAY LEVEL CO-OCCURRENCE MATRIX; HARD EXUDATES; NOVEL METHODS; RETINAL IMAGE; SAMPLE DATASET; STATIONARY WAVELET TRANSFORMS; SUPPORT VECTOR MACHINE (SVM);

EYE PROTECTION; IMAGE ENHANCEMENT; OPHTHALMOLOGY; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; VECTORS; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 77950871217     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/YCICT.2009.5382409     Document Type: Conference Paper

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