Automatic image processing algorithm to detect hard exudates based on mixture models

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 4453-4456

  Sánchez, Clara I ^b   Mayo, Agustín ^c   García, María ^c   López, María I ^b   Hornero, Roberto ^a,c  

^a IEEE

^b UNIVERSITY OF VALLADOLID   (Spain)

^c UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; IMAGE PROCESSING; IMAGE QUALITY; MATHEMATICAL MODELS; MEDICAL IMAGING; MEDICAL PROBLEMS; SENSITIVITY ANALYSIS;

DIABETIC RETINOPATHY; RETINAL IMAGES;

ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATION; DIABETIC RETINOPATHY; EXUDATE; HUMAN; IMAGE PROCESSING; LABORATORY DIAGNOSIS; PREDICTIVE VALUE; PROBABILITY; PROSPECTIVE STUDY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; AUTOMATION; DIABETIC RETINOPATHY; EXUDATES AND TRANSUDATES; FALSE POSITIVE REACTIONS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; PROBABILITY; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 34047148913     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260434     Document Type: Conference Paper

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