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Updated: Jul 15, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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商业上可用的胸部X-ray AI工具用于检测空气疾病,肺胸部和多叶膜溢出

Louis Lind Plesner1, Felix C Müller1, Mathias W Brejnebøl1

  • 1From the Department of Radiology, Herlev and Gentofte Hospital, Borgmester Ib, Juuls vej 1 Herlev, Copenhagen 2730, Denmark (L.L.P., F.C.M., M.W.B., L.C.L., M.B.A.); Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark (L.L.P., M.W.B., O.W.N., M.B., M.B.A.); Radiological Artificial Intelligence Testcenter, RAIT.dk, Capital Region of Denmark (L.L.P., F.C.M., M.W.B., M.B., M.B.A.); Departments of Radiology (M.W.B., M.B.) and Cardiology (O.W.N.), Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark; and Department of Radiology, Aarhus University Hospital, Aarhus, Denmark (F.R.).

Radiology
|September 26, 2023
PubMed
概括

商业人工智能 (AI) 工具在胸部X射线上显示中度至高灵敏度,用于检测肺部疾病,肺胸部和胸膜溢出. 然而,人工智能性能随着多个或微妙的发现而下降,并且产生比人类放射学家更多的假阳性.

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