RT Journal Article
T1 Defining the Optimal Region of Interest for Hyperemia Grading in the Bulbar Conjunctiva
A1 Sánchez Brea, Luisa
A1 Barreira, Noelia
A1 Mosquera González, Antonio
A1 Evans, Katharine
A1 Pena Verdeal, Hugo
AB 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
PB Hindawi
SN 1748-670X
YR 2016
FD 2016
LK http://hdl.handle.net/10347/15958
UL http://hdl.handle.net/10347/15958
LA eng
NO María Luisa Sánchez Brea, Noelia Barreira Rodríguez, Antonio Mosquera González, Katharine Evans, and Hugo Pena-Verdeal, “Defining the Optimal Region of Interest for Hyperemia Grading in the Bulbar Conjunctiva,” Computational and Mathematical Methods in Medicine, vol. 2016, Article ID 3695014, 9 pages, 2016. doi:10.1155/2016/3695014
NO This research has been partially supported by the Ministeriode Economía y Competitividad through the Research ContractDPI2015-69948-R. María Luisa Sánchez Brea acknowledgesthe support of the University of A Coruna though theInditex-UDC Grant Program
DS Minerva
RD 24 abr 2026