Computer-Aided Methodology for Syndromic Strabismus Diagnosis.
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/di...
| Publicado en: | Journal of Digital Imaging Vol. 28; no. 4; pp. 462 - 474 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109625950&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109625950 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2015 vid: 28 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109625950 108352950 10.1007/s10278-014-9758-0 NLM25561067 PMC4501954 109625950 ppf: 462 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Computer-Aided Methodology for Syndromic Strabismus Diagnosis. aug: au: Sousa de Almeida, João Silva, Aristófanes Teixeira, Jorge Paiva, Anselmo Gattass, Marcelo affil: Applied Computing Group-NCA, Federal University of Maranhão - UFMA, Av. dos Portugueses, SN, Campus do Bacanga 65085-580 São Luís Brazil sug: ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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