Deep Learning-Based Glaucoma Detection Using Clinical Notes: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models

Deep Learning-Based Glaucoma Detection Using Clinical Notes: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models

<b>Background/Objectives:</b> Glaucoma is the second-leading cause of irreversible blindness globally. Retinal images such as color fundus photography have been widely used to detect glaucoma. However, little is known about the effectiveness of using raw clinical notes generated by glauc...

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Bibliographic Details
Main Authors: Ali Mohammadjafari, Maohua Lin, Min Shi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Diagnostics
Subjects:
glaucoma detection
deep learning
LSTM
CNN
AI healthcare
clinical notes
Online Access:https://www.mdpi.com/2075-4418/15/7/807
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