Application of artificial intelligence in identifying breast nodule elastography and predicting lymph node metastasis
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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。Abstract: Artificial intelligence technology has been increasingly widely used in the diagnosis and treatment of benign and malignant identification and prediction of axillary lymph node metastasis and has become a research hotspot. Imaginomics uses deep learning and computer-assisted diagnosis to provide more information for the diagnosis of breast nodules and to predict the metastasis of lymph nodes. Breast nodules are one of the common diseases in women for physical examination. How to identify the nature of nodules is related to the treatment and prognosis of patients. The most often metastatic site of malignant nodules in the axillary lymph nodes, and predicting the metastasis of lymph nodes is of great significance to the choice of the treatment regimen. This paper provides a review of artificial intelligence techniques in breast nodule elastography and in predicting lymph node metastasis.
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Key words:
- artificial intelligence /
- elastography /
- lymphaden
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