A novel method for the automatic grading of retinal vessel tortuosity

IEEE Transactions on Medical Imaging

Volumn 27, Issue 3, 2008, Pages 310-319

  Grisan, Enrico ^a,b   Foracchia, Marco ^b,c   Ruggeri, Alfredo ^a,b  

^a IEEE

^b UNIVERSITY OF PADOVA   (Italy)

^c M2 Scientific Computing   (Italy)

Author keywords

Curvature; Fundus imaging; Hypertensive retinopathy; Retina; Tortuosity; Vessels

Indexed keywords

IMAGE ANALYSIS; MEDICAL IMAGING; MEDICAL PROBLEMS; OPHTHALMOLOGY; VISION;

CURVATURE; HYPERTENSIVE RETINOPATHY; RETINA; RETINAL VESSEL TORTUOSITY; TORTUOSITY MEASUREMENT;

BIOLOGICAL ORGANS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINA DISEASE; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL DISEASES; RETINAL VESSELS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 40149101294     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.904657     Document Type: Article

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