The dual-energy computed tomography (DECT) technique is an emerging imaging tool that can better characterize material features and has the potential to be a noninvasive means of predicting lymph node metastasis. The purpose of this study was to establish a DECT-specified quantitative approach based on a neural network to characterize the sentinel lymph node (SLN).

中文翻译：

---

用于表征乳腺癌患者转移淋巴结的去耦卷积网络

双能计算机断层扫描 (DECT) 技术是一种新兴的成像工具，可以更好地表征材料特征，并有可能成为预测淋巴结转移的无创手段。本研究的目的是建立一种基于神经网络的 DECT 特定定量方法来表征前哨淋巴结 (SLN)。