Paper Info
Title
Defining the Optimal Region of Interest for Hyperemia Grading in the Bulbar Conjunctiva.
Abstract
Conjunctival hyperemia or conjunctival redness is a symptom that can be associated with a broad group of ocular diseases. Its levels of severity are represented by standard photographic charts that are visually compared with the patient's eye. This way, the hyperemia diagnosis becomes a nonrepeatable task that depends on the experience of the grader. To solve this problem, we have proposed a computer-aided methodology that comprises three main stages: the segmentation of the conjunctiva, the extraction of features in this region based on colour and the presence of blood vessels, and, finally, the transformation of these features into grading scale values by means of regression techniques. However, the conjunctival segmentation can be slightly inaccurate mainly due to illumination issues. In this work, we analyse the relevance of different features with respect to their location within the conjunctiva in order to delimit a reliable region of interest for the grading. The results show that the automatic procedure behaves like an expert using only a limited region of interest within the conjunctiva.
Year
DOI
Venue
2016
10.1155/2016/3695014
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Field
DocType
Volume
Computer vision,Grading (education),Segmentation,Computer science,Conjunctiva,Bulbar conjunctiva,Artificial intelligence,Conjunctival redness,Region of interest,Conjunctival hyperemia
Journal
2016
ISSN
Citations 
PageRank 
1748-670X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
María Luisa Sánchez Brea110.70
Noelia Barreira-Rodríguez211.38
Antonio Mosquera González311516.72
Katharine Evans400.68
Hugo Pena-Verdeal532.52