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Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images

https://doi.org/10.3389/fcomp.2023.1252295
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Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1016/j.bspc.2022.104176openalex-snapshot
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inferredcites →https://doi.org/10.1109/icsipa.2017.8120662openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmi.2019.2901398openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/978-3-032-13921-4_12openalex-snapshot
Automated Retinal OCT Image Classification and Disease Interpretation
inferred← citeshttps://doi.org/10.1007/978-3-032-15764-5_3openalex-snapshot
Multiclass Classification of Eye Diseases from Color Fundus Images Using Optimized DenseNet201 with Hyperparameter Tuning
inferred← citeshttps://doi.org/10.1007/978-3-032-21164-4_16openalex-snapshot
Lightweight Deep Learning Model for Optic Disc and Vessel Segmentation in Fundus Images
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AI Integration in the Screening and Diagnosis of Retinal Diseases
inferred← citeshttps://doi.org/10.1007/978-3-032-26352-0_33openalex-snapshot
StageMamba: Stage-Aware Multi-level Feature Fusion with Mamba Blocks for Multi-class Eye Disease Diagnosis
inferred← citeshttps://doi.org/10.1007/s10278-025-01676-3openalex-snapshot
OcuViT: A Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification
inferred← citeshttps://doi.org/10.1007/s11760-026-05524-xopenalex-snapshot
Clinically explainable cross-attention CNN–ViT framework for automated multi-class retinal disease screening using OCT
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First approach to the development of an adaptive Dense GRU model for ocular disease classification with multi-head sparse attention-based feature integration
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inferred← citeshttps://doi.org/10.1016/j.eij.2026.100988openalex-snapshot
Multi-model deep transfer learning and hybrid BiLSTM-AM-DCN with Walrus optimization algorithm for multi-class retinal disease classification in OCT images
inferred← citeshttps://doi.org/10.1016/j.exer.2026.111017openalex-snapshot
Deep learning based eye disease classification using Optical Coherence Tomography (OCT) images
inferred← citeshttps://doi.org/10.1016/j.fri.2025.200670openalex-snapshot
A five-year systematic review of AI-based medical image analysis: From preprocessing to classification
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Advancements in deep learning-based classification of optical coherence tomography images in ophthalmology
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Synthetic polarization-sensitive optical coherence tomography using contrastive unpaired translation
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Multi-scale adaptive fusion network for retinal layer and fluid segmentation in optical coherence tomography B-scans
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Ocular disease recognition using deep learning
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RetinaFormer: A Swin Transformer Framework for Automated OCT-Based Retinal Disease Classification
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OcularInsight-VGG16 Powered Multilabel Disease Detection
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