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Updated: Jul 11, 2025

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基于MRI的放射学方法用于预测乳腺癌中的Ki-67表达:系统性审查和元分析

Peyman Tabnak1, Zanyar HajiEsmailPoor1, Behzad Baradaran2

  • 1Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran (P.T., Z.H.); Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran (P.T., Z.H., B.B., L.A.M.); Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran (P.T., Z.H., B.B., L.A.M.).

Academic radiology
|November 4, 2023
PubMed
概括

基于MRI的放射学在预测乳腺癌中的Ki-67表达方面表现出很好的准确性,但低于90%的灵敏度和特异性限制了其作为唯一的病理评估工具的使用.

关键词:
人工智能的人工智能是人工智能.乳腺癌 乳腺癌 乳腺癌深度学习是一种深度学习.在 Ki-67 机器人这就是为什么MRI是MRI.机器学习 机器学习放射基因组学是指放射基因组学.无线电学 (Radiomics) 是一种辐射学.

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