Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)
Article
Article Title | Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023) |
---|---|
ERA Journal ID | 5039 |
Article Category | Article |
Authors | Akpinar, Muhammed Halil, Sengur, Abdulkadir, Faust, Oliver, Tong, Louis, Molinari, Filippo and Acharya, U. Rajendra |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 254 |
Article Number | 108253 |
Number of Pages | 21 |
Year | 2024 |
Publisher | Elsevier |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2024.108253 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0169260724002487 |
Abstract | Background and objectives Method Results |
Keywords | Optical coherence tomography |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 420308. Health informatics and information systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Istanbul University, Turkiye |
Firat University, Turkey | |
Anglia Ruskin University, United Kingdom | |
Singapore Eye Research Institute, Singapore | |
PolitoBIOMed Lab, Italy | |
School of Mathematics, Physics and Computing |
https://research.usq.edu.au/item/z8633/artificial-intelligence-in-retinal-screening-using-oct-images-a-review-of-the-last-decade-2013-2023
37
total views0
total downloads1
views this month0
downloads this month