Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sheik Mohamed Ansar"'
Autor:
Shruthy Vaishali Ramesh, Prasanna Venkatesh Ramesh, Prajnya Ray, Sheik Mohamed Ansar, V G Madhanagopalan, Meena Kumari Ramesh, Ramesh Rajasekaran
Publikováno v:
Indian Journal of Ophthalmology, Vol 71, Iss 8, Pp 2947-2952 (2023)
Purpose: Our study was designed to determine ophthalmologists' dexterity in performing standard ophthalmic procedures at various levels of expertise via a structured questionnaire. Methods: A structured questionnaire was administered via the Google p
Externí odkaz:
https://doaj.org/article/4a00d5311bed46f19b884c38ae9bbda0
Autor:
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Tamilselvan Subramanian, Prajnya Ray, Aji Kunnath Devadas, Sheik Mohamed Ansar, Ramesh Rajasekaran, Sathyan Parthasarathi
Publikováno v:
TNOA Journal of Ophthalmic Science and Research, Vol 61, Iss 1, Pp 57-66 (2023)
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 i
Externí odkaz:
https://doaj.org/article/d4a179478db240b299d9ce3ce2d4438a
Autor:
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Anugraha Balamurugan, Sheik Mohamed Ansar, Aji Kunnath Devadas, Meena Kumari Ramesh, Ramesh Rajasekaran
Publikováno v:
Kerala Journal of Ophthalmology, Vol 34, Iss 3, Pp 216-226 (2022)
Aims: This study aims to evaluate the non-mydriatic fundus image quality obtained with a confocal fundus device. Also, to evaluate the influence of non-mydriatic pupil size on image quality. Settings and Design: A cross-sectional study was conducted
Externí odkaz:
https://doaj.org/article/86a0f13e512743a7a91a63e263a56c9a
Autor:
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Prajnya Ray, Aji Kunnath Devadas, Sheik Mohamed Ansar, Pragash Michael Raj, Meena Kumari Ramesh, Ramesh Rajasekaran
Publikováno v:
TNOA Journal of Ophthalmic Science and Research, Vol 60, Iss 1, Pp 42-47 (2022)
The coronicle (corona + cubicle) provides state-of-the-art features required for comprehensive ocular evaluation. Assembling this cubicle requires acrylic sheets, aluminum beading, fevicol, araldite paste, and a jigsaw cutting blade, which can be don
Externí odkaz:
https://doaj.org/article/9203ca83e4204ae69ed41485ff945144
Autor:
Prasanna Venkatesh Ramesh, TamilselvanSubramaniam, PrajnyaRay, Aji Kunnath Devadas, Shruthy Vaishali Ramesh, Sheik Mohamed Ansar, Meena Kumari Ramesh, RameshRajasekaran, SathyanParthasarathi
Publikováno v:
Indian Journal of Ophthalmology, Vol 70, Iss 4, Pp 1131-1138 (2022)
Purpose: For diagnosing glaucomatous damage, we have employed a novel convolutional neural network (CNN) from TrueColor confocal fundus images to conquer the black box dilemma in artificial intelligence (AI). This neural network with CNN architecture
Externí odkaz:
https://doaj.org/article/c8730454847645c4abc9cfc8a03de3a8