mlsanityData to 14 Oct 2026

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

arXiv 2312.08255 ↗First posted 13 Dec 2023eess.IV cs.CV cs.LGcited by 28

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Abstract (arXiv)

Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. This work presents an open-access OCT dataset (OCTDL) comprising over 2000 OCT images labeled according to disease group and retinal pathology. The dataset consists of OCT records of patients with Age-related Macular Degeneration (AMD), Diabetic Macular Edema (DME), Epiretinal Membrane (ERM), Retinal Artery Occlusion (RAO), Retinal Vein Occlusion (RVO), and Vitreomacular Interface Disease (VID). The images were acquired with an Optovue Avanti RTVue XR using raster scanning protocols with dynamic scan length and image resolution. Each retinal b-scan was acquired by centering on the fovea and interpreted and cataloged by an experienced retinal specialist. In this work, we applied Deep Learning classification techniques to this new open-access dataset.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). Builds on 4 of its 55 references that are in the map. First posted on arXiv 13 Dec 2023.

Builds on

4 of 55 references.

References · 4

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2018OCTID: Optical Coherence Tomography Image Databasecited by 36
  4. 2022RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentationcited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 6; 2025: 15; 2026: 7.

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  1. 2024EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imagingcited by 18
  2. 2024EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysiscited by 15
  3. 2024Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Modelscited by 10
  4. 2025MadCLIP: Few-shot Medical Anomaly Detection with CLIPcited by 10
  5. 2024Improving Representation of High-frequency Components for Medical Visual Foundation Modelscited by 9
  6. 2025MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysiscited by 7
  7. 2025MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretrainingcited by 5
  8. 2025FunBench: Benchmarking Fundus Reading Skills of MLLMscited by 5
  9. 2025Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalitiescited by 5
  10. 2025Conquering the Retina: Bringing Visual in-Context Learning to OCTcited by 3
  11. 2025MedicalNarratives: Connecting Medical Vision and Language with Localized Narrativescited by 2
  12. 2025MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transportcited by 2
16 more
  1. 2025Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barrierscited by 1
  2. 2025BenchReAD: A systematic benchmark for retinal anomaly detectioncited by 1
  3. 2026From ML Predictions to Informed Diagnostic Assistance Using the Toulmin Model of Argumentationcited by 1
  4. 2024Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Imagescited by 0
  5. 2024Inter Observer Variability Assessment through Ordered Weighted Belief Divergence Measure in MAGDM Application to the Ensemble Classifier Feature Fusioncited by 0
  6. 2025Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosiscited by 0
  7. 2025PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysiscited by 0
  8. 2025RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Modelscited by 0
  9. 2025GCVAMD: A Modified CausalVAE Model for Causal Age-related Macular Degeneration Risk Factor Detection and Predictioncited by 0
  10. 2025EyeAgent: An Agentic AI System for Multimodal Clinical Decision Support in Ophthalmologycited by 0
  11. 2026RetinaVision: XAI-Driven Augmented Regulation for Precise Retinal Disease Classification using deep learning frameworkcited by 0
  12. 2026MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestrationcited by 0
  13. 2026M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Modelcited by 0
  14. 2026Not All Forgetting Is Equal: Retention Dynamics in Fine-Tuned Image Classifierscited by 0
  15. 2026Representation learning from OCT imagescited by 0
  16. 2026Explainable Uncertainty Estimation for Reliable Medical AIcited by 0