Dividing method, device and e apparatus and storage medium

A technology to be segmented and residual, applied in the field of image processing, can solve the problems of right ventricular imaging boundary blur and low segmentation accuracy

Active Publication Date: 2019-08-16
SHENZHEN UNIV
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  • Application Information

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Problems solved by technology

[0005] The present invention aims to provide a segmentation method, device, equipment, and storage medium to solve the technical problem of low segmentation accuracy caused by blurred boundaries of right ventricle imaging

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  • Dividing method, device and e apparatus and storage medium
  • Dividing method, device and e apparatus and storage medium
  • Dividing method, device and e apparatus and storage medium

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Embodiment Construction

[0076] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0077] The present invention aims to provide a segmentation method, device, equipment and storage medium to solve the technical problem of low segmentation accuracy due to blurred boundaries of right ventricle imaging.

[0078] figure 1 It is a schematic flowchart of a segmentation method according to an exemplary embodiment of the present i...

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Abstract

The invention provides a segmentation method, device and apparatus and a storage medium. The method comprises the steps of receiving a heart image to be segmented; processing the heart image to be segmented by using the trained hierarchical residual neural network; wherein the hierarchical residual neural network comprises at least one residual layer and at least one full convolution layer, the atleast one residual layer is used for performing encoding processing on an image training set, and the at least one full convolution layer is used for performing decoding processing on an encoded image output by the residual layer so as to output a segmentation decision value of a heart image to be segmented; and determining a contour map of the right ventricle in the heart image according to thesegmentation decision value. The method uses the coding-decoding structure of the hierarchical residual neural network to determine the contour map of the right ventricle in the cardiac image and solves the problem that the boundary of the right ventricle is fuzzy in the heart image, and can accurately draw the boundary contour of the right ventricle.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a segmentation method, device, equipment and storage medium. Background technique [0002] Cardiac segmentation refers to the use of imaging techniques to determine the left and right ventricles from cardiac images acquired by cine magnetic resonance techniques. [0003] Although there have been some attempts to segment the left ventricle, compared with the segmentation of the left ventricle, the right ventricle has a more variable contour shape, and the boundary between the intima and adventitia is difficult to distinguish from the background, making the segmentation of the right ventricle a medical image. A difficulty in segmentation. [0004] The present invention aims to provide a segmentation method, device, equipment and storage medium to solve the technical problem of low segmentation accuracy due to blurred boundaries of right ventricle imaging. Conten...

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Application Information

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IPC IPC(8): G06T7/10G06N3/04
CPCG06T7/10G06T2207/20081G06T2207/30048G06N3/045
Inventor 刘泽雄杨烜裴继红杨博乾
Owner SHENZHEN UNIV
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