本研究针对乳腺癌腋窝淋巴结（ALN）转移术前无创精准诊断的临床难题，通过整合T2加权与动脉期T1加权磁共振成像（MRI）的影像组学特征，结合机器学习（如随机森林、梯度提升）和深度学习（神经网络）模型，系统评估多序列影像组学在ALN转移预测中的效能。

Abstract: Forward error correction (FEC) plays a vital role in optical communication. The open FEC code (oFEC) is a very efficient code suitable for high-speed ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...