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pro vyhledávání: '"Glenn Linde"'
Autor:
Glenn Linde, Waldir Rodrigues de Souza Jr, Renoh Chalakkal, Helen V. Danesh-Meyer, Ben O’Keeffe, Sheng Chiong Hong
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract There is a growing number of publicly available ophthalmic imaging datasets and open-source code for Machine Learning algorithms. This allows ophthalmic researchers and practitioners to independently perform various deep-learning tasks. With
Externí odkaz:
https://doaj.org/article/ed8c8adf8a864204b6e852a4916c5dc7
Autor:
Glenn Linde, Renoh Chalakkal, Lydia Zhou, Joanna Lou Huang, Ben O’Keeffe, Dhaivat Shah, Scott Davidson, Sheng Chiong Hong
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2810 (2023)
Purpose/Background: We evaluate how a deep learning model can be applied to extract refractive error metrics from pupillary red reflex images taken by a low-cost handheld fundus camera. This could potentially provide a rapid and economical vision-scr
Externí odkaz:
https://doaj.org/article/87d855d87b5a4ef88e881fe2847e58db
Autor:
Faizal Hafiz, Renoh Johnson Chalakkal, Sheng Chiong Hong, Glenn Linde, Roger Hu, Ben O’Keeffe, Yim Boobin
Publikováno v:
Expert Review of Medical Devices. 19:303-314
The present study proposes a new hand-held non-mydriatic fundus camera for retinal imaging. The goal is to design a fundus camera which is equally effective in both clinical and telemedicine scenarios.A new retinal illumination approach is proposed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c5c6b05c3c953182f722ded032eca5
https://doi.org/10.1080/17434440.2022.2070004
https://doi.org/10.1080/17434440.2022.2070004