Customised artificial intelligence toolbox for detecting diabetic retinopathy with confocal truecolor fundus images using object detection methods

Customised artificial intelligence toolbox for detecting diabetic retinopathy with confocal truecolor fundus images using object detection methods

Purpose: A novel convolutional neural network approach in detecting diabetic retinopathy (DR) was employed to overcome the black box dilemma in artificial intelligence (AI). In addition to identification and classification, this tool is intended to identify signs such as microaneurysms, hard exudate...

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Bibliographic Details
Main Authors: Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Tamilselvan Subramanian, Prajnya Ray, Aji Kunnath Devadas, Sheik Mohamed Ansar, Ramesh Rajasekaran, Sathyan Parthasarathi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2023-01-01
Series:TNOA Journal of Ophthalmic Science and Research
Subjects:
artificial intelligence
confocal fundus images
diabetic retinopathy
machine learning
object detection
Online Access:http://www.tnoajosr.com/article.asp?issn=2589-4528;year=2023;volume=61;issue=1;spage=57;epage=66;aulast=Ramesh

Internet

http://www.tnoajosr.com/article.asp?issn=2589-4528;year=2023;volume=61;issue=1;spage=57;epage=66;aulast=Ramesh

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