Method and device for establishing age prediction model, age prediction method and device

A predictive model and model technology, applied in biological neural network models, image data processing, image enhancement, etc., can solve problems such as low efficiency, long time consumption, and heavy workload

Active Publication Date: 2018-12-18
UNIV OF SCI & TECH OF CHINA
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[0005] In view of this, the embodiments of the present invention provide a method and device for establishing an age prediction model, an age prediction method and device, so

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  • Method and device for establishing age prediction model, age prediction method and device
  • Method and device for establishing age prediction model, age prediction method and device

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[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0076]In this application, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes none. other elements specifically listed, or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comp...

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Abstract

The invention provides a method and a device for establishing an age prediction model, an age prediction method and a device. The method comprises: building m references on the x-axis, y-axis, z-axisData sets (described in the description) corresponding to T1-weighted images of brain slices in each slice direction and T<n><n>(z, g), where w refers to the white matter T1-weighted image corresponding to the white matter region and g refers to the grey matter T1-weighted image corresponding to the grey matter region; n is the number of the reference person and n has a value ranging from 1 to m.According to the true age of the reference person corresponding to the T1-weighted image, age identification is added to the T1-weighted image in each data set. Convolution-based neural network pairdata sets (described in the description) and T<n><n>(z, g), corresponding data sets (described in the description)and <n><n>(z, g) are established. The age predictor model with the highest precision of age prediction is selected as the age predictor model.

Description

technical field [0001] The invention relates to the technical fields of medical image processing and computer vision detection, in particular to a method and device for establishing an age prediction model, and an age prediction method and device. Background technique [0002] With the rapid development of human society, health problems have become the focus of people's attention, especially for the health problems of the elderly. Alzheimer's Disease (AD), commonly known as senile dementia, is one of the diseases that the elderly are most concerned about. Its clinical manifestations are language impairment and memory loss. [0003] Scientific research has found that Alzheimer's disease has a certain relationship with the atrophy of brain tissue. Currently, researchers analyze the MRI images of the patient's brain to predict the patient's brain age. If the predicted brain age is consistent with the actual The greater the age deviation, the greater the degree of brain atrophy...

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Application Information

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IPC IPC(8): G06T7/00G06T3/60G06N3/04
CPCG06T3/60G06T7/0012G06T2207/30016G06N3/045
Inventor 姜海涛郭佳佳杜宏伟曾凡凡严婷邱本胜
Owner UNIV OF SCI & TECH OF CHINA
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