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Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study.

Chen ChenYitao JiangJincao YaoMin LaiYuanzhen LiuXianping JiangDi OuBojian FengLingyan ZhouJinfeng XuLinghu WuYuli ZhouWenwen YueFajin DongDong Xu
Published in: European radiology (2023)
• Thyroid solid nodules have a high probability of malignancy. • Our models can improve the differentiation between benign and malignant solid thyroid nodules. • The differential performance of one model was superior to that of senior radiologists. Applying this could reduce the rate of unnecessary fine-needle aspiration of solid thyroid nodules.
Keyphrases
  • deep learning
  • fine needle aspiration
  • machine learning
  • artificial intelligence
  • ultrasound guided
  • cross sectional
  • convolutional neural network