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A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors.

Renyi LiuDerun PanYuan XuHui ZengZilong HeJiongbin LinWeixiong ZengZeqi WuZhendong LuoGenggeng QinWeiguo Chen
Published in: European radiology (2021)
• The deep learning model can be used to classify benign, malignant, and intermediate bone tumors. • The machine learning model fusing information from radiographs and clinical characteristics can improve the classification capacity for bone tumors. • The diagnostic performance of the fusion model is comparable with that of senior radiologists and is potentially useful as a complement to radiologists in a bone tumor differential diagnosis.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • bone mineral density
  • soft tissue
  • big data
  • bone loss
  • convolutional neural network
  • bone regeneration
  • healthcare
  • social media
  • health information