Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network

Nabila Eladawi, Mohammed Elmogy, Mohammed Ghazal, Luay Fraiwan, Ahmed Aboelfetouh, Alaa Eldin M. Riad, Harpal Sandhu, Robert Keynton, Ayman El-Baz. Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network. In 2019 IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, September 22-25, 2019. pages 1390-1394, IEEE, 2019. [doi]

@inproceedings{EladawiEGFARSKE19,
  title = {Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network},
  author = {Nabila Eladawi and Mohammed Elmogy and Mohammed Ghazal and Luay Fraiwan and Ahmed Aboelfetouh and Alaa Eldin M. Riad and Harpal Sandhu and Robert Keynton and Ayman El-Baz},
  year = {2019},
  doi = {10.1109/ICIP.2019.8803031},
  url = {https://doi.org/10.1109/ICIP.2019.8803031},
  researchr = {https://researchr.org/publication/EladawiEGFARSKE19},
  cites = {0},
  citedby = {0},
  pages = {1390-1394},
  booktitle = {2019 IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, September 22-25, 2019},
  publisher = {IEEE},
  isbn = {978-1-5386-6249-6},
}