Alzheimer disease determination method and system based on ensemble learning

An Alzheimer's disease, integrated learning technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as Alzheimer's disease that have not yet been seen, and improve early diagnosis accuracy and generalization ability Effect

Active Publication Date: 2019-04-09
潘丹
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] However, there is no report on the combination of convolutional...

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  • Alzheimer disease determination method and system based on ensemble learning
  • Alzheimer disease determination method and system based on ensemble learning
  • Alzheimer disease determination method and system based on ensemble learning

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Embodiment Construction

[0077] The present invention will be further explained and described below in conjunction with the accompanying drawings and specific embodiments of the description. For the step numbers in the embodiment of the present invention, it is only set for the convenience of explanation and description, and there is no limitation on the order of the steps. The execution order of each step in the embodiment can be carried out according to the understanding of those skilled in the art Adaptive adjustment.

[0078] refer to figure 1 , the embodiment of the present invention provides a method for determining Alzheimer's disease based on integrated learning, including the following steps:

[0079] S1. Obtaining magnetic resonance imaging data of Alzheimer's disease;

[0080] Further as a preferred implementation of step S1, said step S1 includes the following steps:

[0081] S11. Obtain the magnetic resonance imaging data of Alzheimer's disease through the ADNI database;

[0082] S12....

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Abstract

The invention discloses an Alzheimer disease determination method and system based on ensemble learning. The method comprises the following steps: obtaining magnetic resonance imaging data of Alzheimer disease; training the magnetic resonance imaging data according to a convolutional neural network, so as to obtain a base classifier; performing ensemble learning on the base classifier, so as to obtain an ensemble classifier; obtaining a classification result serving as a determination result of Alzheimer disease according to the ensemble classifier; the system comprises an acquisition module,a training module, an ensemble module and a classification module. The method has the advantages that training is performed according to the convolutional neural network, ensemble learning is performed on a training result, finally the determination result of Alzheimer disease is obtained according to a result of ensemble learning, the early diagnosis accuracy rate and generalization capability ofAlzheimer disease are improved, and the method can be widely applied to the field of computer-aided diagnosis.

Description

technical field [0001] The invention relates to the field of computer-aided diagnosis, in particular to a method and system for determining Alzheimer's disease based on integrated learning. Background technique [0002] Alzheimer's Disease (AD) is a typical neurodegenerative disease, clinically manifested as amnesia, loss of language ability, and loss of self-care ability. With the acceleration of population aging in modern society, the number of patients with this disease is increasing rapidly, which brings great pain and burden to patients and their families. But so far, the cause of the disease is still unclear and the course of the disease is irreversible, and there is no cure for the disease. Therefore, early diagnosis of AD is of great significance for the development of new drugs and measures to slow down the progression of the disease. Mild cognitive impairment (Mild Cognitive Impairment, MCI) is a state between AD and healthy state HC (Healthy Controls, HC), can b...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/055
CPCA61B5/055A61B5/7225A61B5/7264
Inventor 潘丹曾安贾龙飞
Owner 潘丹
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