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Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks.

Kevin A ThomasŁukasz KidzińskiEni HalilajScott Lanyon FlemingGuhan R VenkataramanEdwin H G OeiGarry E GoldScott L Delp
Published in: Radiology. Artificial intelligence (2020)
An end-to-end interpretable model that takes full radiographs as input and predicts KL scores with state-of-the-art accuracy, performs as well as musculoskeletal radiologists, and does not require manual image preprocessing was developed. Saliency maps suggest the model's predictions were based on clinically relevant information. Supplemental material is available for this article. © RSNA, 2020.
Keyphrases
  • knee osteoarthritis
  • deep learning
  • neural network
  • machine learning
  • artificial intelligence
  • healthcare
  • high throughput