학술논문

Computer-aided diagnosis of plus disease in retinal fundus images of preterm infants via measurement of vessel tortuosity
Document Type
Conference
Source
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. :4338-4342 Aug, 2015
Subject
Engineered Materials, Dielectrics and Plasmas
Diseases
Image segmentation
Retina
Skeleton
Retinopathy
Length measurement
Sensitivity
Language
ISSN
1094-687X
1558-4615
Abstract
An increase in retinal vessel tortuosity can be indicative of the presence of various diseases including retinopathy of prematurity (ROP). Accurate detection and measurement of such changes could help in computer-aided diagnosis of plus disease, which warrants treatment of ROP. We present image processing methods for detection and segmentation of retinal vessels, quantification of vessel tortuosity, and diagnostic-decision-making criteria that incorporate the clinical definition of plus-diagnosis. The obtained results using 110 retinal fundus images of preterm infants (91 without plus and 19 with plus) provide high sensitivity = 0.89 (17/19) and excellent specificity = 0.95 (86/91) in the diagnosis of plus disease.