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Method and system for automatically segmentation blood vessel of medical image using machine learning and image processing algorithm

机译:使用机器学习和图像处理算法自动分割血管的方法和系统

摘要

The present invention relates to a method and system for automatically segmentation blood vessels from medical image data. More specifically, it relates to a method and system for automatically segmentation blood vessels of medical images using machine learning and image processing algorithms.A method of automatically segmentation blood vessels in a three-dimensional medical image according to the present invention isA method of segmenting 3D shape blood vessel data from a patient's three-dimensional medical image data using a computerStep 3: receiving patient medical image data inputArtificial neural networksThe three dimensional medical image data of the input patient are processedGenerating blood vessel data of the first three-dimensional shape andIt includes the step of generating the blood vessel data of the secondary three-dimensional shape by image processing of the blood vessel data of the first three-dimensional shape.To generate the vascular data of the secondary three-dimensional shapeBlood vessel data of the three-dimensional three-dimensional shape is generated using the blood vessel data of the first three-dimensional shape.The method according to the present invention can generate a three-dimensional shape of blood vessel data quickly and accurately without intervention of the operator.Diagram
机译:本发明涉及一种从医学图像数据自动分割血管的方法和系统。更具体地说,它涉及使用机器学习和图像处理算法自动分割医学图像的血管的方法和系统。根据本发明的三维医学图像中自动分割血管的方法ISA分割3D的方法使用计算机的三维医学图像数据的形状血管数据使用计算机3:接收患者医学图像数据被终于神秘的神经网络,输入患者的三维医学图像数据是加工的前三维形状的血管数据,包括通过第一三维形状的血管数据的图像处理产生次级三维形状的血管数据的步骤。生成三维三维三维形状血管数据的副三维形状血管数据的血管数据使用T的血管数据产生 - 尺寸的形状他首先三维形状。根据本发明的方法可以快速准确地在操作员的干预方面快速准确地产生三维形状的血管数据.Diagram

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