Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

@article{Kermany2018IdentifyingMD,
  title={Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning},
  author={Daniel S. Kermany and M. Goldbaum and Wenjia Cai and C. C. S. Valentim and K. Zhang},
  journal={Cell},
  year={2018},
  volume={172},
  pages={1122-1131.e9}
}
  • Daniel S. Kermany, M. Goldbaum, +2 authors K. Zhang
  • Published 2018
  • Biology, Medicine
  • Cell
  • The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. [...] Key Result Applying this approach to a dataset of optical coherence tomography images, we demonstrate performance comparable to that of human experts in classifying age-related macular degeneration and diabetic macular edema. We also provide a more transparent and interpretable diagnosis by highlighting the regions recognized by the neural network. We further demonstrate…Expand Abstract
    Artificial intelligence-based decision-making for age-related macular degeneration
    • 20
    • Highly Influenced

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 14 REFERENCES
    Visualizing and Understanding Convolutional Networks
    • 8,449
    • PDF