Automatic segmentation method of glioma region

A glioma, automatic segmentation technology, applied in the field of medical image analysis, can solve the problems of dependence, low segmentation accuracy, overall model redundancy, etc., to reduce the size of the model, reduce interference, and ensure the effect of segmentation.

Active Publication Date: 2022-03-01
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

[0003] At present, the existing research methods often use cascaded neural networks to deal with the segmentation of different regions, which makes the overall model very redundant, and the training of the networks is independent of each other, while the network input of the latter stage is heavily dependent on the previous stage. network, therefore, the final segmentation accuracy is also lower

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  • Automatic segmentation method of glioma region
  • Automatic segmentation method of glioma region
  • Automatic segmentation method of glioma region

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[0011] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. 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.

[0012] The embodiment of the present invention provides a method for automatic segmentation of brain glioma regions, the main process is as follows: use the segmentation network of the cascade attention mechanism to process the multimodal three-dimensional brain volume data MRI images, and the cascade attention mechanism The front-end of the segmentation network is a shared feature extractor, and its back-end is connected to three codec branches wit...

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Abstract

The invention discloses a method for automatic segmentation of brain glioma regions, comprising: using a segmentation network of a cascaded attention mechanism to process multimodal three-dimensional brain volume data MRI images, and using a segmentation network of a cascaded attention mechanism The front end is a shared feature extractor, and its back end is connected with three codec branches with the same structure; the feature extractor inputs the extracted feature maps to the three codec branches respectively, and the three codec branches are used for segmentation Different regions; there are attention mechanism modules between adjacent codec branches to capture the spatial hierarchical relationship of different regions, and finally segment different regions in the glioma region through three codec branches. By this method, automatic segmentation of glioma regions can be realized quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of medical image analysis, in particular to a method for automatically segmenting brain glioma regions. Background technique [0002] Due to the heterogeneity and spatial diversity of gliomas, it is of great significance to accurately segment tumor regions automatically. [0003] At present, the existing research methods often use cascaded neural networks to deal with the segmentation of different regions, which makes the overall model very redundant, and the training of the networks is independent of each other, while the network input of the latter stage is heavily dependent on the previous stage. network, therefore, the final segmentation accuracy is also lower. Contents of the invention [0004] The object of the present invention is to provide a method for automatically segmenting brain glioma regions, which can quickly and accurately realize automatic brain glioma region segmentation. [0005] The ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11
CPCG06T7/11G06T2207/10088G06T2207/20081G06T2207/30016G06T2207/30096
Inventor 张勇东徐海谢洪涛
Owner UNIV OF SCI & TECH OF CHINA
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