Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 31 von 845
Computer methods and programs in biomedicine, 2020-01, Vol.183, p.105090-105090, Article 105090
2020
Volltextzugriff (PDF)

Details

Autor(en) / Beteiligte
Titel
Automatic detection of parapapillary atrophy and its association with children myopia
Ist Teil von
  • Computer methods and programs in biomedicine, 2020-01, Vol.183, p.105090-105090, Article 105090
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2020
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •A PPA detection algorithm is proposed that integrates PPA identification and segmentation based on biologically inspired feature and radial line detector, which can obtain satisfactory outputs.•The area of PPA (APPA), the ratio of APPA to the area of optic disc, and the maximal width of PPA can be measured automatically and accurately using the proposed approach.•Association analysis between PPA parameters and myopia data is performed, and the maximal width of PPA is best correlated with myopia parameters (p < 0.05). To develop an automatic parapapillary atrophy (PPA) detection algorithm in retinal fundus images and discuss the association between PPA and myopia to facilitate diagnosis and prediction of children myopia. The proposed algorithm consists of PPA identification and segmentation, which are evaluated by comparing with ophthalmologist's annotation. The association between PPA parameters and myopia is analyzed via Spearman correlation. The accuracy of PPA identification reaches 90.78%. The F1-score of PPA segmentation is 0.67, and the Pearson correlation between the automatic measurement and ground truths for the area of PPA (APPA), the ratio (μ) of APPA to the area of optic disc (OD) and the maximal width of PPA (W) are 0.74, 0.60, and 0.69 (all p < 0.001). All these parameter changes are significantly correlated with the change of ratio of axial length to corneal curvature (ΔALCC), spherical equivalent (ΔSE), and axial length (ΔAL) (all p < 0.01), in which the highest association is 0.75 between ΔW (the change of W) and ΔALCC. The proposed algorithm can provide accurate PPA measurement. Strong association between the changes of PPA and the progress of children myopia are observed and the width of PPA has the best association among three PPA parameters.
Sprache
Englisch
Identifikatoren
ISSN: 0169-2607
eISSN: 1872-7565
DOI: 10.1016/j.cmpb.2019.105090
Titel-ID: cdi_proquest_miscellaneous_2302501817

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX