A hybrid automated detection system based on least square support vector machine classifier and k-NN based weighted pre-processing for diagnosing of macular disease

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

Volumn 4432 LNCS, Issue PART 2, 2007, Pages 338-345

  Polat, Kemal ^a   Kara, Sadik ^b   Güven, Ayşegül ^b   Güneş, Salih ^a  

^a SELCUK UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASES; HYBRID COMPUTERS; LIVING SYSTEMS STUDIES;

MACULAR DISEASE; PATTERN ELECTRORETINOGRAPHY (PERG);

SUPPORT VECTOR MACHINES;

EID: 36549008131     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71629-7_38     Document Type: Conference Paper

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