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Method and system for approximating deep neural networks for anatomical object detection

机译:逼近用于解剖对象检测的深层神经网络的方法和系统

摘要

A method and system for approximating a deep neural network for anatomical object detection is discloses. A deep neural network is trained to detect an anatomical object in medical images. An approximation of the trained deep neural network is calculated that reduces the computational complexity of the trained deep neural network. The anatomical object is detected in an input medical image of a patient using the approximation of the trained deep neural network.
机译:公开了一种用于对深度神经网络进行逼近的解剖对象检测方法和系统。训练了深度神经网络以检测医学图像中的解剖对象。计算训练的深度神经网络的近似值,从而降低训练的深度神经网络的计算复杂度。使用经过训练的深度神经网络的逼近,在患者的输入医学图像中检测出解剖对象。

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