Deep Learning Approach for Age-related Macular Degeneration Detection Using Retinal Images: Efficacy Evaluation of Different Deep Learning Models-Reference-Cited by-全球学者库

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Deep Learning Approach for Age-related Macular Degeneration Detection Using Retinal Images: Efficacy Evaluation of Different Deep Learning Models

Published:2023-12 Issue:4 Volume:24 Page:100402
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Le Ngoc Thien^ORCID,Le Truong Thanh,Pongsachareonnont Pear Ferreira,Suwajanakorn Disorn,Mavichak Apivat,Itthipanichpong Rath^ORCID,Asdornwised Widhyakorn,Chaitusaney Surachai^ORCID,Benjapolakul Watit

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference46 articles.

1. Prevalence of age-related macular degeneration in thailand;Jenchitr;Ophthalmic Epidemiology,2011

2. Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging;Shad;Nature Machine Intelligence,2021

3. Overview of machine learning: Part 2: Deep learning for medical image analysis;Le;Neuroimaging Clinics of North America,2020

4. Development of a fundus image-based deep learning diagnostic tool for various retinal diseases;Kim;Journal of Personalized Medicine,2021

5. Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies;Leng;PLOS ONE,2023

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