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Biomedical image-based biological tissue segmentation method and communication terminal

A biological tissue and biomedical technology, applied in the field of medical image processing, to achieve the effect of improving accuracy

Pending Publication Date: 2020-06-23
QINGDAO HISENSE MEDICAL EQUIP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this application is to provide a method for segmenting biological tissues based on biomedical images to solve the problem of how to segment tree-like biological tissues from medical images

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  • Biomedical image-based biological tissue segmentation method and communication terminal
  • Biomedical image-based biological tissue segmentation method and communication terminal
  • Biomedical image-based biological tissue segmentation method and communication terminal

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Embodiment Construction

[0138] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Among them, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

[0139] Moreover, in the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in the text is only a description of related objects The association relationship of indicates that there may be three relationships, for example, A and / or B, which may...

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Abstract

The invention discloses a biomedical image-based biological tissue segmentation method and a communication terminal, and aims to solve the problem of segmenting an airway from a medical image. The method comprises the following steps: acquiring a biomedical image of the biological tissue; reducing the size of the biomedical image to a specified size, and performing feature extraction on the biomedical image of which the size is reduced to obtain a global contour of the biological tissue; dividing the biomedical image into a plurality of image blocks, and performing feature extraction on each image block to obtain a local detail structure of the biological tissue included in each image block; and fusing the local detail structure of the biological tissue and the global contour of the biological tissue included in each image block to obtain a complete structure of the biological tissue.

Description

Technical field [0001] This application relates to the field of medical image processing, and in particular to a method and communication terminal for segmentation of biological tissue based on biomedical images. Background technique [0002] In order to accurately identify the airway, extracting the airway tree from biomedical images has become an important step in analyzing various diseases such as pneumothorax and asthma. However, tree-like structures such as airway trees have very complicated bifurcation structures, and biomedical imaging data is very large, and it is a very time-consuming process to accurately extract tree-like structures such as airway trees. Therefore, it is very necessary to use a computer-aided automatic segmentation system. [0003] In addition, the extraction of tree-like structures such as airway trees is also helpful for the segmentation of other tissues, such as lung lobes, lung nodules, lung segmentation, and blood vessel segmentation. Another appl...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/12G06T7/194G06K9/46G06K9/62G16H30/20
CPCG06T7/0012G06T7/12G06T7/194G16H30/20G06T2207/10081G06T2207/20084G06T2207/20081G06T2207/30061G06T2207/30101G06V10/462G06F18/24
Inventor 吴乙荣田广野韩月乔
Owner QINGDAO HISENSE MEDICAL EQUIP
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