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METHOD AND SYSTEM FOR ESTIMATING BRAIN VASCULAR AGE FROM MEDICAL IMAGE

机译:从医学图像估计脑血管年龄的方法和系统

摘要

The present invention relates to a method and a system for estimating brain vascular age from a medical image, the method for estimating brain vascular age from a medical image comprising the steps of: collecting brain vascular images with age information of a plurality of subjects; pre-processing a brain vascular image with age information to detect the position of a middle cerebral artery (MCA) for machine learning through a convolutional neural network (CNN) having a plurality of learning layers; machine learning through the convolutional neural network (CNN) comprising a plurality of convolutional layers for calculating feature maps by using the pre-processed brain vascular image with the age information as an input value of an input layer and applying a weight to the input value; and estimating a brain vascular age through the machine-learned convolutional neural network (CNN).
机译:从医学图像估计脑血管年龄的方法和系统技术领域本发明涉及一种从医学图像估计脑血管年龄的方法和系统,该方法和系统包括以下步骤:收集具有多个对象的年龄信息的脑血管图像;以及从医学图像估计脑血管年龄的方法。预处理具有年龄信息的脑血管图像,以检测大脑中动脉(MCA)的位置,以通过具有多个学习层的卷积神经网络(CNN)进行机器学习;通过包括多个卷积层的卷积神经网络(CNN)进行机器学习,通过使用年龄信息作为输入层的输入值的预处理脑血管图像并将权重应用于输入值来计算特征图;并通过机器学习的卷积神经网络(CNN)估计脑血管年龄。

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