Alzheimer's disease multi-classification diagnosis system based on deep study

Abstract

The invention relates to an Alzheimer's disease multi-classification diagnosis system based on deep study. The Alzheimer's disease multi-classification diagnosis system comprises an image characteristic extracting module, an index characteristic selecting module, a vector linear merging module and a disease classification and diagnosis module, wherein the image characteristic extracting module is used for extracting characteristic vectors of a cerebral three-orthogonal plane MRI image according to a neural network model; the index characteristic selecting module is used for selecting checking indexes according to medical pertinent literatures to form index characteristic vectors; the vector linear merging module is used for adopting a multivariate data linear merging method based on canonical correlation analysis to merge the characteristic vectors of the image and the index characteristic vectors; and the disease classification and diagnosis module is used for inputting the merged vectors to a multi-classification classifier to distinguish the three stages of the Alzheimer's disease. The Alzheimer's disease multi-classification diagnosis system disclosed by the invention can assist the multi-classification diagnosis of the Alzheimer's disease.

Description

technical field [0001] The invention relates to the field of intelligent medical technology, in particular to a multi-classification diagnosis system for Alzheimer's disease based on deep learning. Background technique [0002] Alzheimer's disease (AD), also known as senile dementia, is a neurodegenerative disease characterized by progressive memory loss and loss of acquired knowledge until complete loss of daily life ability, which will not only cause Seriously affect the quality of life of patients themselves, but also bring a heavy burden to the patient's family and the whole society. Alzheimer's disease is an important cause of disease that threatens the health of the elderly after cardiovascular disease, cerebrovascular disease and tumors. [0003] Since the famous German neuroanatomist Alzheimer first mentioned the disease in 1906, Alzheimer's disease has been included in the history of medicine for more than 110 years. The clinical diagnosis of Alzheimer's disease i...

AI Technical Summary

Problems solved by technology

[0005] (1) 3D imaging images are often difficult to represent and model due to their high dimensionality, noise, and sparseness, and the use of regions of interest and image segmentation requires certain prior knowledge, which is a challenging task

[0006] (2) Only using imaging images as the basis for the diagnosis of Alzheimer's disease without reference to other medical examinations, such as demographic information, neuropsychological assessment, biological testing, etc., does not conform to clinical practice

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