Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

@article{Gao2015AutomaticFL,
  title={Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning},
  author={Xinting Gao and Stephen Lin and Tien Yin Wong},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2015},
  volume={62},
  pages={2693-2701}
}
Goal: Cataracts are a clouding of the lens and the leading cause of blindness worldwide. Assessing the presence and severity of cataracts is essential for diagnosis and progression monitoring, as well as to facilitate clinical research and management of the disease. Methods: Existing automatic methods for cataract grading utilize a predefined set of image features that may provide an incomplete, redundant, or even noisy representation. In this study, we propose a system to automatically learn… CONTINUE READING

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