Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images

Computer Methods and Programs in Biomedicine

Volumn 103, Issue 1, 2011, Pages 28-38

  Calvo, David ^a   Ortega, Marcos ^a   Penedo, Manuel G ^a   Rouco, Jose ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Automatic classification; Blood vessel tree; Eye fundus; Feature point; Segmentation

Indexed keywords

AUTOMATIC CLASSIFICATION; AUTOMATIC DETECTION; CHARACTERISATION; EYE FUNDUS; FEATURE POINT; RETINAL STRUCTURE; RETINAL VESSELS; TREE CHARACTERISTICS;

BLOOD VESSELS; DIAGNOSIS; EYE PROTECTION; MEDICAL IMAGING; OPHTHALMOLOGY;

PLANT EXTRACTS;

ARTICLE; DIAGNOSTIC ACCURACY; EYE FUNDUS; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; IMAGE ANALYSIS; IMAGE QUALITY; RETINA BLOOD VESSEL; RETINAL VESSEL TREE BIFURCATION; RETINAL VESSEL TREE CROSSOVER; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; FEASIBILITY STUDIES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RETINA; RETINAL VESSELS; SENSITIVITY AND SPECIFICITY;

EID: 79958166132     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.06.002     Document Type: Article

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