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ABDOMINAL IMAGE SEGMENTATION METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

机译:腹部图像分割方法,计算机设备和存储介质

摘要

An abdominal image segmentation method, a computer device, and a storage medium. The method comprises: acquiring an abdominal image to be tested; classifying pixels in said abdominal image on the basis of a trained full convolutional neural network to determine a segmented image corresponding to said abdominal image, wherein the trained full convolutional neural network is determined on basis of the training of a first training set and a second training set, the first training set comprises respective first sample abdominal images and pixel classification tag images corresponding to the first sample abdominal images, and the second training set comprises respective second sample abdominal images and the number of pixels of respective categories corresponding to the second sample abdominal images. By means of the present method, the accuracy of segmentation can be improved.
机译:腹部图像分割方法,计算机设备和存储介质。该方法包括:获取要测试的腹部图像;以及基于训练后的全卷积神经网络对所述腹部图像中的像素进行分类,以确定与所述腹部图像相对应的分割图像,其中,根据第一训练集和第二训练的训练来确定训练后的全卷积神经网络。集,第一训练集包括相应的第一样本腹部图像和与第一样本腹部图像相对应的像素分类标签图像,第二训练集包括相应的第二样本腹部图像和与第二样本腹部图像相对应的各个类别的像素数图片。通过本方法,可以提高分割的准确性。

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