ELM Line OCT Dataset

Benchmarking Automated Detection Of The Retinal External Limiting Membrane In A 3D Spectral Domain Optical Coherence Tomography Image Dataset of Full Thickness Macular Holes

Prerequisites

• Linux
• Python with numpy
• NVIDIA GPU + CUDA 10.0
• pytorch 1.10.0
• torchvision

Getting Started

+ Clone this repo:

cd Benchmark-ELM-Line-OCT-Dataset

+ Get dataset

Available on request from the corresponding author for noncommercial use.

+ Train the model:

python train.py

+ Test the model:

python predict.py

Citation:

If you use the code in your work, please use the following citation:

@article{singh2021benchmarking,
  title={Benchmarking Automated Detection Of The Retinal External Limiting Membrane In A 3D Spectral Domain Optical Coherence Tomography Image Dataset of Full Thickness Macular Holes},
  author={Singh, VK and Kucukgoz, B and Murphy, DC and Xiong, X and Steel, DH and Obara, B},
  journal={Computers in Biology and Medicine},
  year={2021},
  publisher={Newcastle University}
}