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Computer-Aided Methodology for Syndromic Strabismus Diagnosis.

Authors :
Sousa de Almeida, João
Silva, Aristófanes
Teixeira, Jorge
Paiva, Anselmo
Gattass, Marcelo
Source :
Journal of Digital Imaging; Aug2015, Vol. 28 Issue 4, p462-473, 12p
Publication Year :
2015

Abstract

Strabismus is a pathology that affects approximately 4 % of the population, causing aesthetic problems reversible at any age and irreversible sensory alterations that modify the vision mechanism. The Hirschberg test is one type of examination for detecting this pathology. Computer-aided detection/diagnosis is being used with relative success to aid health professionals. Nevertheless, the routine use of high-tech devices for aiding ophthalmological diagnosis and therapy is not a reality within the subspecialty of strabismus. Thus, this work presents a methodology to aid in diagnosis of syndromic strabismus through digital imaging. Two hundred images belonging to 40 patients previously diagnosed by an specialist were tested. The method was demonstrated to be 88 % accurate in esotropias identification (ET), 100 % for exotropias (XT), 80.33 % for hypertropias (HT), and 83.33 % for hypotropias (HoT). The overall average error was 5.6 Δ and 3.83 Δ for horizontal and vertical deviations, respectively, against the measures presented by the specialist. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08971889
Volume :
28
Issue :
4
Database :
Complementary Index
Journal :
Journal of Digital Imaging
Publication Type :
Academic Journal
Accession number :
108352950
Full Text :
https://doi.org/10.1007/s10278-014-9758-0