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Complex-Valued Neural Network with Learnable Non-Linearities in Medical Imaging

机译:具有可学习非线性的医学成像复值神经网络

摘要

For machine training and application of a trained complex-valued machine learning model, an activation function of the machine learning model, such as a neural network, includes a learnable parameter that is complex or defined in a complex domain with two dimensions, such as real and imaginary or magnitude and phase dimensions. The complex learnable parameter is trained for any of various applications, such as MR fingerprinting, other medical imaging, or non-medical uses.
机译:为了机器训练和训练后的复数值机器学习模型的应用,机器学习模型的激活函数(例如神经网络)包括复杂的或在具有二维(例如实数)的复杂域中定义的可学习参数。虚部或大小和相位尺寸。对复杂的可学习参数进行了各种应用程序的培训,例如MR指纹识别,其他医学成像或非医学用途。

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