Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach
| dc.contributor.author | Raman, Sundaresan | |
| dc.date.accessioned | 2024-11-11T09:49:42Z | |
| dc.date.available | 2024-11-11T09:49:42Z | |
| dc.date.issued | 2022-09 | |
| dc.description.abstract | Infectious 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.uri | https://journals.lww.com/ijo/fulltext/2022/09000/Advances_in_the_diagnosis_of_herpes_simplex.24.aspx?context=LatestArticles | |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16323 | |
| dc.language.iso | en | en_US |
| dc.publisher | Wolters Kluwer | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Deep Learning (DL) | en_US |
| dc.subject | Necrotising keratitis | en_US |
| dc.title | Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach | en_US |
| dc.type | Article | en_US |
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