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METHOD AND SYSTEM FOR LANDMARK DETECTION IN MEDICAL IMAGES USING DEEP NEURAL NETWORKS

机译:基于深层神经网络的医学图像地标检测方法和系统

摘要

A method and system for anatomical landmark detection in medical images using deep neural networks is disclosed. For each of a plurality of image patches centered at a respective one of a plurality of voxels in the medical image, a subset of voxels within the image patch is input to a trained deep neural network based on a predetermined sampling pattern. A location of a target landmark in the medical image is detected using the trained deep neural network based on the subset of voxels input to the trained deep neural network from each of the plurality of image patches.
机译:公开了一种使用深度神经网络在医学图像中进行解剖界标检测的方法和系统。对于以医学图像中的多个体素中的相应一个为中心的多个图像斑块中的每个,将图像斑块内的体素的子集基于预定的采样模式输入到训练的深度神经网络。基于从多个图像补丁中的每一个输入到训练的深度神经网络的体素的子集,使用训练的深度神经网络来检测医学图像中目标界标的位置。

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