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人工智能在鉴别乳腺结节弹性成像及预测淋巴结转移的应用

宋伟健 孙立涛

宋伟健, 孙立涛. 人工智能在鉴别乳腺结节弹性成像及预测淋巴结转移的应用[J]. 分子影像学杂志, 2022, 45(4): 609-614. doi: 10.12122/j.issn.1674-4500.2022.04.27
引用本文: 宋伟健, 孙立涛. 人工智能在鉴别乳腺结节弹性成像及预测淋巴结转移的应用[J]. 分子影像学杂志, 2022, 45(4): 609-614. doi: 10.12122/j.issn.1674-4500.2022.04.27
SONG Weijian, SUN Litao. Application of artificial intelligence in identifying breast nodule elastography and predicting lymph node metastasis[J]. Journal of Molecular Imaging, 2022, 45(4): 609-614. doi: 10.12122/j.issn.1674-4500.2022.04.27
Citation: SONG Weijian, SUN Litao. Application of artificial intelligence in identifying breast nodule elastography and predicting lymph node metastasis[J]. Journal of Molecular Imaging, 2022, 45(4): 609-614. doi: 10.12122/j.issn.1674-4500.2022.04.27

人工智能在鉴别乳腺结节弹性成像及预测淋巴结转移的应用

doi: 10.12122/j.issn.1674-4500.2022.04.27
基金项目: 

国家自然科学基金 82071929

详细信息
    作者简介:

    宋伟健,在读硕士研究生,E-mail: 1018841776@qq.com

    通讯作者:

    孙立涛,博士,教授,主任医师,博士生导师,E-mail: litaosun1971@sina.com

Application of artificial intelligence in identifying breast nodule elastography and predicting lymph node metastasis

Funds: 

National Natural Science Foundation of China 82071929

  • 摘要: 人工智能技术被日益广泛应用于乳腺结节弹性成像良恶性鉴别和预测腋窝淋巴结转移的诊疗过程中。影像组学利用深度学习和计算机辅助诊断构建模型,为乳腺结节的诊断和预测淋巴结的转移提供了更多的信息。乳腺结节是女性体检常见的疾病之一,如何鉴别结节的性质关乎到患者的治疗和预后。其中,恶性结节最常转移至腋窝淋巴结,因此预测淋巴结的转移对治疗方案的选择有着重要的意义。本文就人工智能技术在乳腺结节弹性成像和预测淋巴结转移做一综述。

     

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  • 收稿日期:  2022-04-29
  • 网络出版日期:  2022-07-25
  • 刊出日期:  2022-07-20

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