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Performance of Deep-Learning Solutions on Lung Nodule Malignancy Classification: A Systematic Review.

Hailun LiangMeili HuYuxin MaLei YangJie ChenLiwei LouChen ChenYuan Xiao
Published in: Life (Basel, Switzerland) (2023)
It is a thorough analysis of the most recent advancements in lung nodule deep-learning technologies. The advancement of image processing techniques, traditional machine learning techniques, deep-learning techniques, and other techniques have all been applied to the technology for pulmonary nodule diagnosis. Although the deep-learning model has demonstrated distinct advantages in the detection of pulmonary nodules, it also carries significant drawbacks that warrant additional research.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • pulmonary hypertension
  • big data
  • real time pcr