Machine learning techniques for corneal diseases diagnosis: A survey

dc.contributor.authorJameel, Samer Kais
dc.contributor.authorAydın, Sezgin
dc.contributor.authorGhaeb, Nebras H.
dc.date.accessioned2021-07-02T11:15:41Z
dc.date.available2021-07-02T11:15:41Z
dc.date.issued2021
dc.departmentMühendislik Fakültesi
dc.description*Jameel, Samer Kais ( Aksaray, Yazar )
dc.description.abstractMachine learning techniques become more related to medical researches by using medical images as a dataset. It is categorized and analyzed for ultimate effectiveness in diagnosis or decision-making for diseases. Machine learning techniques have been exploited in numerous researches related to corneal diseases, contribution to ophthalmologists for diagnosing the diseases and comprehending the way automated learning techniques act. Nevertheless, confusion still exists in the type of data used, whether it is images, data extracted from images or clinical data, the course reliant on the type of device for obtaining them. In this study, the researches that used machine learning were reviewed and classified in terms of the kind of utilized machine for capturing data, along with the latest updates in sophisticated approaches for corneal disease diagnostic techniques.
dc.identifier.doi10.1142/S0219467821500169
dc.identifier.endpage-en_US
dc.identifier.issn0219-4678
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3
dc.identifier.startpage-en_US
dc.identifier.urihttps:/dx.doi.org/10.1142/S0219467821500169
dc.identifier.urihttps://hdl.handle.net/20.500.12451/8288
dc.identifier.volume21en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWorld Scientific
dc.relation.ispartofInternational Journal of Image and Graphics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer-aided Diagnosis (CAD)
dc.subjectCorneal Disease Diagnosis
dc.subjectMachine Learning
dc.titleMachine learning techniques for corneal diseases diagnosis: A survey
dc.typeArticle

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