Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration

Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration

The use of deep-learning-based artificial intelligence (AI) is emerging in ophthalmology, with AI-mediated differential diagnosis of neovascular age-related macular degeneration (AMD) and dry AMD a promising methodology for precise treatment strategies and prognosis. Here, we developed deep learning...

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Bibliographic Details
Main Authors: Tae-Young Heo, Kyoung Min Kim, Hyun Kyu Min, Sun Mi Gu, Jae Hyun Kim, Jaesuk Yun, Jung Kee Min
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Diagnostics
Subjects:
age-related macular degeneration
class activation map
convolutional neural network
cross-validation
retina
Online Access:https://www.mdpi.com/2075-4418/10/5/261

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https://www.mdpi.com/2075-4418/10/5/261

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