Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach

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dc.contributor.authorRaman, Sundaresan
dc.date.accessioned2023-01-05T04:11:37Z
dc.date.available2023-01-05T04:11:37Z
dc.date.issued2022-09
dc.description.abstractInfectious keratitis, especially viral keratitis (VK), in resource-limited settings, can be a challenge to diagnose and carries a high risk of misdiagnosis contributing to significant ocular morbidity. We aimed to employ and study the application of artificial intelligence-based deep learning (DL) algorithms to diagnose VK.en_US
dc.identifier.urihttps://journals.lww.com/ijo/Fulltext/2022/09000/Advances_in_the_diagnosis_of_herpes_simplex.24.aspx
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8309
dc.language.isoenen_US
dc.publisherIndia Journal of Ophthalmologyen_US
dc.subjectComputer Scienceen_US
dc.subjectInfectious keratitisen_US
dc.subjectViral Keratitis (VK)en_US
dc.titleAdvances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approachen_US
dc.typeArticleen_US

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