Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review

Mahtab Faraji, Homa Rashidisabet, George R. Nahass, RV Paul Chan, Thasarat S Vajaranant +1 more
11/7/2024
eess.IVcs.CV

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

Here, we examine the latest advances in glaucoma detection through Deep Learning (DL) algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study focuses on three aspects of DL-based glaucoma detection frameworks: input data modalities, processing strategies, and model architectures and applications. Moreover, we analyze trends in employing each aspect since the onset of DL in this field. Finally, we address current challenges and suggest future research directions.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Exploring Deep Learning Techniques for Glaucoma Detection: A Comprehensive Review

89% match2023

AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review

89% match2024

Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging

88% match1 repo12024

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining

86% match2024

Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer

85% match1 repo42024

DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis

85% match2025

Cite this paper

@article{faraji2024trends,
  title  = {Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review},
  author = {Mahtab Faraji and Homa Rashidisabet and George R. Nahass and RV Paul Chan and Thasarat S Vajaranant and Darvin Yi},
  year   = {2024},
  eprint = {2411.05876},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.05876v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2411.05876.svg)](https://codeofpaper.com/paper/2411.05876)

Discussion