DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8309
Title: Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach
Authors: Raman, Sundaresan
Keywords: Computer Science
Infectious keratitis
Viral Keratitis (VK)
Issue Date: Sep-2022
Publisher: India Journal of Ophthalmology
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.
URI: https://journals.lww.com/ijo/Fulltext/2022/09000/Advances_in_the_diagnosis_of_herpes_simplex.24.aspx
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8309
Appears in Collections:Department of Computer Science and Information Systems

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.