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Updated: Jul 5, 2025

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基于超声波的深度学习放射学诺米克图用于丸质量风险分层:一项两中心研究

Fuxiang Fang1, Yan Sun1, Hualin Huang2

  • 1Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.

Journal of cancer research and clinical oncology
|January 19, 2024
PubMed
概括

一个新的超声驱动的临床深度学习放射学 (CDLR) 模型准确地分层丸质量风险. 这种工具有助于个性化治疗,并减少丸病变的不必要程序.

关键词:
深度学习是一种深度学习.无线电学 (Radiomics) 是一种无线电学.丸病变 在丸病变.超声波超声波是指超声波的使用.

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