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Glaucoma based detection of cup to disc ratio from retinal fundus image: an image processing technique [articol]

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dc.contributor.author Duraisamy, Anitha
dc.contributor.author Suganthi, M.
dc.date.accessioned 2024-02-06T12:30:23Z
dc.date.available 2024-02-06T12:30:23Z
dc.date.issued 2021
dc.identifier.citation Duraisamy, Anitha; Suganthi,M.: Glaucoma based detection of cup to disc ratio from retinal fundus image: an image processing technique. Timişoara: Editura Politehnica, 2021 Disponibil la https://doi.org/10.59168/QKPN7128 en_US
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6180
dc.identifier.uri https://search.crossref.org/search/works?q=10.59168%2FQKPN7128&from_ui=yes Link DOI
dc.description.abstract This work proposes a method for the detection of glaucoma using fundus image based on the optic disc and cup size. The ratio of the optic cup to disc (CDR) in retinal fundus images is one of the primary physiological parameter for the diagnosis of glaucoma. Using SVM classifier the dataset is trained. The CDR values are considered as features for the prediction. Also, the advantages of using electriucal stimulation for the treatment of glaucom are prosed in this study. The mechanism underlying the electrical stimulation for the positive effects are outlined in connection with their effects on increased production of neurotrophic agents. Therefore through work, we aim to provide insight on the applications CDR and the advantages of electrical stimulation and its importance as a potential therapy for improving vision and treating various eye diseases. en_US
dc.language.iso en en_US
dc.publisher Timișoara: Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 21 No 3
dc.subject Glaucoma, fundus image en_US
dc.subject Cup to disc ratio en_US
dc.subject SVM classifier en_US
dc.subject Electrical Simulation en_US
dc.title Glaucoma based detection of cup to disc ratio from retinal fundus image: an image processing technique [articol] en_US
dc.type Article en_US


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