Use of a human image analyser algorithm to characterise retinal vasculature in cats with hyperthyroidism, diabetes mellitus and chronic kidney disease

Carliell, Victoria and Davies, Michael and Malho, P and Al-Diri, Bashir (2015) Use of a human image analyser algorithm to characterise retinal vasculature in cats with hyperthyroidism, diabetes mellitus and chronic kidney disease. Veterinary Ophthalmology, 18 (5). ISSN 1463-5216

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive

Abstract

To investigate the feasibility of using a computer vision algorithm to analyse images of the feline fundus. Animal studied : Cat Procedures:An algorithm designed to analyse human fundus images was applied to feline images to compare retinal vascular parameters in healthy cats and cats with conditions that could cause hypertension-associated retinopathy including diabetes mellitus, hyperthyroidism and renal failure. Results Cats with renal failure were significantly different to healthy cats in six out of 17 parameters, and diabetic cats were significantly different in two. Conclusions: The human software algorithm (Junction Mark-up) could be used to analyse feline images and significant differences were found between healthy cats and those with renal failure or diabetes mellitus.As diabetic cats rarely develop cataracts this species would be an excellent model for comparative longitudinal retinal imaging studies investigating diabetic retinopathy.

Additional Information:Abstracts: Annual Scientific Meeting of the European College of Veterinary Ophthalmologists, Helsinki, Finland May 28–31, 2015
Keywords:Retinal vascular, hyperthyroidism, diabetes mellitus, retinal vasculature in cats, NotOAChecked
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:26903
Deposited On:07 Apr 2017 13:36

Repository Staff Only: item control page