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Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network.

Woojin LeeKeewon ShinJun Soo LeeSeung-Jin YooMin A YoonYo Won ChoiGil-Sun HongNamkug KimSang Hyun Paik
Published in: Journal of the Korean Society of Radiology (2022)
Our deep learning-based artificial intelligence software in a semi-supervised manner achieved excellent performance in diagnosing scoliosis using the chest PA radiographs of young individuals; thus, it could be used as a screening tool with high NPV and sensitivity and reduce the burden on radiologists for diagnosing scoliosis through health screening chest radiographs.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • healthcare
  • public health
  • convolutional neural network
  • mental health
  • middle aged
  • risk assessment
  • health information
  • social media