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A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases

arXiv 1806.06423 ↗First posted 17 Jun 2018cs.CV cs.IRcited by 16

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Abstract (arXiv)

Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists. We propose a novel visual-assisted diagnosis hybrid model based on the support vector machine (SVM) and deep neural networks (DNNs). The model incorporates complementary strengths of DNNs and SVM. Furthermore, we present a new clinical retina label collection for ophthalmology incorporating 32 retina diseases classes. Using EyeNet, our model achieves 89.73% diagnosis accuracy and the model performance is comparable to the professional ophthalmologists.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Jun 2018.

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Citing papers per year: 2021: 5; 2022: 0; 2023: 5; 2024: 4; 2025: 1; 2026: 1.

16 papers.

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  1. 2021The Dawn of Quantum Natural Language Processingcited by 61
  2. 2021GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarizationcited by 26
  3. 2021Contextualized Keyword Representations for Multi-modal Retinal Image Captioningcited by 16
  4. 2021Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"cited by 16
  5. 2023Query-based Video Summarization with Pseudo Label Supervisioncited by 13
  6. 2024A Novel Evaluation Framework for Image2Text Generationcited by 11
  7. 2023Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questionscited by 9
  8. 2023Causalainer: Causal Explainer for Automatic Video Summarizationcited by 8
  9. 2023Conditional Modeling Based Automatic Video Summarizationcited by 6
  10. 2024Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Modelscited by 5
  11. 2023Causal Video Summarizer for Video Explorationcited by 4
  12. 2021Robust Unsupervised Multi-Object Tracking in Noisy Environmentscited by 1
4 more
  1. 2024Automated Retinal Image Analysis and Medical Report Generation through Deep Learningcited by 1
  2. 2024Personalized Video Summarization using Text-Based Queries and Conditional Modelingcited by 1
  3. 2025DeepEyeNet: Generating Medical Report for Retinal Imagescited by 1
  4. 2026Retinal Malady Classification using AI: A novel ViT-SVM combination architecturecited by 0