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DEEP LEARNING-BASED CARDIAC CT IMAGE SEGMENTATION METHOD AND APPARATUS, DEVICE, AND MEDIUM

机译:基于深度学习的心脏CT图像分割方法及装置,装置和介质

摘要

The present invention is applicable to the technical field of medical image processing and provides a deep learning-based cardiac CT image segmentation method and apparatus, a device, and a medium. The method comprises: when a cardiac CT image segmentation request is received, obtaining a cardiac CT image input by a user; performing preprocessing on the obtained cardiac CT image to obtain a corresponding preprocessed image; and performing, by means of a pre-trained V-Net model, image segmentation on a preset cardiac tissue area in the preprocessed image to obtain a segmented cardiac tissue area image corresponding to the cardiac CT image. Therefore, the accuracy of the image segmentation performed on a cardiac CT image is improved, such that a highly accurate segmented image is obtained, thereby improving the safety of surgery.
机译:本发明适用于医学图像处理技术领域,提供了一种基于深度学习的心脏CT图像分割方法,装置,装置和介质。该方法包括:当接收到心脏CT图像分割请求时,获取用户输入的心脏CT图像;对获取的心脏CT图像进行预处理,得到对应的预处理图像;通过预先训练的V-Net模型对预处理后的图像中的预设心脏组织区域进行图像分割,得到与心脏CT图像对应的分割后的心脏组织区域图像。因此,提高了在心脏CT图像上执行的图像分割的准确性,从而获得了高精度的分割图像,从而提高了手术的安全性。

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