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Supervised training models with or without manual lesion delineation outperform clinicians in distinguishing pulmonary cryptococcosis from lung adenocarcinoma on chest CT.

Yun LiDeyan ChenShuyi LiuJunfeng LinWei WangJinhai HuangLunfang TanLina LiangZhufeng WangKang PengQiasheng LiWenhua JianYouwen ZhangChengbao PengHuai ChenXia ZhangJinping Zheng
Published in: Mycoses (2024)
Both models outperformed the clinicians in distinguishing between PC and LA on chest CT, with the UST model exhibiting comparable performance to the DST model.
Keyphrases
  • computed tomography
  • image quality
  • dual energy
  • palliative care
  • contrast enhanced
  • machine learning
  • pulmonary hypertension
  • magnetic resonance imaging
  • pet ct