Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning

@article{Treder2017AutomatedDO,
  title={Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning},
  author={Maximilian Treder and Jost Lennart Lauermann and Nicole Eter},
  journal={Graefe's Archive for Clinical and Experimental Ophthalmology},
  year={2017},
  volume={256},
  pages={259-265}
}
Our purpose was to use deep learning for the automated detection of age-related macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT). A total of 1112 cross-section SD-OCT images of patients with exudative AMD and a healthy control group were used for this study. In the first step, an open-source multi-layer deep convolutional neural network (DCNN), which was pretrained with 1.2 million images from ImageNet, was trained and validated with 1012 cross-section SD-OCT… CONTINUE READING
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