Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading

@article{Zhou2018MultiCellMC,
  title={Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading},
  author={K. Zhou and Zaiwang Gu and W. Liu and Weixin Luo and J. Cheng and Shenghua Gao and J. Liu},
  journal={2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2018},
  pages={2724-2727}
}
  • K. Zhou, Zaiwang Gu, +4 authors J. Liu
  • Published 2018
  • Computer Science, Engineering, Medicine
  • 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    • Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes Mellitus, and automatic retinal image analysis algorithm for the DR screening is in high demand. Considering the resolution of retinal image is very high, where small pathological tissues can be detected only with large resolution image and large local receptive field are required to identify those late stage disease, but directly training a neural network with very deep architecture and high resolution image… CONTINUE READING
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    19 Citations
    Background Citations
    9
    Methods Citations
    2
    19 Citations
    Citation Type

    Citation Type

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