Machine learning and pattern classification in identification of indigenous retinal pathology

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 5951-5954

  Jelinek, Herbert F ^a   Rocha, Anderson ^b   Carvalho, Tiago ^b   Goldenstein, Siome ^b   Wainer, Jacques ^b  

^a Charles Sturt University Albury Campus   (Australia)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED ASSESSMENT; DIABETIC RETINOPATHY; EARLY DIAGNOSIS; ETHNIC GROUPS; HUMAN RETINA; TRAINING SETS;

DISEASES; EYE PROTECTION; OPHTHALMOLOGY; PATHOLOGY;

ALDEHYDES;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIABETIC RETINOPATHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 84862298785     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091471     Document Type: Conference Paper

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