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Method and system for confirming brain diseases based on images

An image and brain technology, applied in the field of big data analysis and data mining, can solve the problem of inaccurate feature extraction and achieve the effect of improving accuracy

Active Publication Date: 2022-03-11
深圳市铱硙医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of inaccurate feature extraction in the above-mentioned prior art, the present invention provides a method for feature extraction of images to confirm brain diseases, thereby improving the efficiency and accuracy of disease confirmation and diagnosis

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  • Method and system for confirming brain diseases based on images
  • Method and system for confirming brain diseases based on images
  • Method and system for confirming brain diseases based on images

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than 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.

[0035] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates otherwise, "multiple" Generally contain at least two.

[0036] It sho...

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Abstract

The invention discloses an image-based brain disease confirmation method and system, and the method comprises the steps: obtaining a plurality of brain magnetic resonance imaging (MRI) images of a patient, firstly carrying out the extraction of a first local feature image, and then extracting the features of a cerebrovascular image based on the first local feature image, and then similar cases are matched in a focus feature database based on the features of the cerebrovascular image, a matching result is output, and a corresponding disease type is confirmed according to the matching result. According to the method, the first local feature image is firstly extracted, and then the cerebrovascular image is extracted based on the first local image, so that compared with a traditional mode of directly extracting the disease features from the MRI image, the accuracy of comparison is greatly improved, and the accuracy of disease confirmation is improved.

Description

technical field [0001] The invention belongs to the field of big data analysis and data mining, and in particular relates to a method and system for identifying brain diseases based on images. Background technique [0002] Intracranial tissues and organs include meningeal vessels, brain, cerebellum, brainstem, cranial nerves, etc. The structure of the brain is directly or indirectly under the regulation and control of the nervous system, which is huge and complex. [0003] Brain diseases are a series of lesions caused by intracranial tissues and organs. The conditions are different, and some are even life-threatening. The diagnosis of brain diseases requires examination of relevant brain items. Doctors make a diagnosis based on the results of the examination. In real life, the diagnosis of brain diseases still relies on the inherent experience and subjective judgment of doctors. This method greatly reduces the efficiency of disease diagnosis. . [0004] In recent years, wi...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G16H30/20G06V10/46G06V10/74G06V10/75
CPCG06T7/0012G06N3/08G16H30/20G06T2207/10088G06T2207/30016G06N3/045G06F18/22
Inventor 王思伦谷静南雅诗
Owner 深圳市铱硙医疗科技有限公司
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