oct-srf-classification

OCT Subretinal Fluid Classifier — CSC / PCV / VKH

Automated classification of subretinal fluid (SRF) accumulation from sequences of retinal optical coherence tomography (OCT) scans into three conditions:

This model accompanies the peer-reviewed publications:

"Diagnostic Performance of Machine Learning Technology Using Optical Coherence Tomographic Image in Retinal Diseases Presented with Subretinal Fluid" Khakhai, Panita and Paisarnsrisomsuk, Sarun and Wiratchotisatian, Pitchaya and Tangprasert, Kwankhao and Laovirojjanakul, Wipada — Retina, 2026 DOI: 10.1097/IAE.0000000000004708

"Enhanced Retinal-Choroidal Disorders Classification Model via Temporal Sequence Analysis of OCT Images Across Multiple Lines of Fovea" Tangprasert, Kwankhao and Wiratchotisatian, Pitchaya and Khakhai, Panita and Laovirojjanakul, Wipada and Paisarnsrisomsuk, Sarun — 2025 ICAIIC, IEEE, 2025 DOI: 10.1109/ICAIIC64266.2025.10920750

📦 Code, notebooks, and full documentation: GitHub — oct-srf-classifier

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Intended Use

✅ Appropriate uses

• Academic research on retinal disease classification from OCT
• Benchmarking against other automated OCT analysis methods
• Educational demonstration of Grad-CAM explainability in ophthalmology

❌ Not appropriate for

• Standalone clinical diagnosis without physician review
• Deployment in patient-facing systems without local validation and regulatory approval
• Use on patient populations significantly different from the Thai clinical cohort

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Limitations and Bias

• Single-centre, single-country data. The training dataset comes exclusively from one Thai referral hospital. Performance on other ethnic populations or devices from different manufacturers has not been evaluated.
• No concurrent conditions. Cases with co-existing retinal pathologies were not included during training.

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Ethical Statement

Training data was collected under Institutional Review Board (IRB) approval at Khon Kaen University Hospital, Thailand. All patient data is de-identified and is not publicly released due to privacy regulations and hospital ethics policy. Only model weights are distributed through this repository.

Researchers wishing to inquire about dataset access for independent verification should contact the corresponding author listed in the paper.

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Citation

If you use this model or code in your research, please cite the original paper:

@article{khakhai2026diagnostic,
  title   = {Diagnostic Performance of Machine Learning Technology Using Optical Coherence Tomographic Image in Retinal Diseases Presented with Subretinal Fluid},
  author  = {Khakhai, Panita and Paisarnsrisomsuk, Sarun and Wiratchotisatian, Pitchaya and Tangprasert, Kwankhao and Laovirojjanakul, Wipada},
  journal = {Retina},
  volume  = {46},
  number  = {3},
  pages   = {514--520},
  year    = {2026},
  month   = {March},
  doi     = {10.1097/IAE.0000000000004708}
}

@INPROCEEDINGS{10920750,
  author={Tangprasert, Kwankhao and Wiratchotisatian, Pitchaya and Khakhai, Panita and Laovirojjanakul, Wipada and Paisarnsrisomsuk, Sarun},
  booktitle={2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)}, 
  title={Enhanced Retinal-Choroidal Disorders Classification Model via Temporal Sequence Analysis of OCT Images Across Multiple Lines of Fovea}, 
  year={2025},
  volume={},
  number={},
  pages={0766-0771},
  keywords={Analytical models;Accuracy;Fluids;Sequences;Decision making;Predictive models;Streaming media;Retina;Real-time systems;Diseases;Deep Learning;LSTM;CNN;Medical Image Analysis;Retinal OCT Image;Subretinal Fluid Classification;Central Serous Chorioretinopathy;Polypoidal Choroidal Vasculopathy;Vogt-Koyanagi-Harada},
  doi={10.1109/ICAIIC64266.2025.10920750}
}

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Contact

For questions about this model, please open an issue on the GitHub repository or contact the corresponding author listed in the IEEE publication. Khon Kaen University — Department of Computer Engineering, Thailand hon Kaen University- Department of Statistic, Thailand Khon Kaen University — Faculty of Medicine, Department of Ophthalmology, Srinagarind Hospital, Thailand