Brain disease diagnosis method based on 3D convolutional neural network

Abstract

The invention relates to a brain disease diagnosis method based on a 3D convolutional neural network. The method comprises the following steps: 1) acquiring MRI brain image data samples of normal states and diseases; 2) performing sample pretreatment: brain tissue extraction and sample standardization; 3) designing a 3D convolutional neural network for brain disease diagnosis; 4) taking the MRI brain image as the input of the 3D convolutional neural network, performing network training, extracting features, and establishing a classification diagnosis model; 5) preprocessing the MRI brain imageof the to-be-detected person, sending the preprocessed MRI brain image as input to the 3D convolutional neural network diagnosis model to obtain an output label, and judging whether the to-be-detected person is sick or not. The method has the advantages that 1) the brain disease diagnosis model is established by using the 3D convolutional neural network, and features are automatically learned from MRI brain images; a multi-hidden-layer deep learning model is constructed, accurate and effective features are automatically obtained by a computer, and finally the precision and generalization ability of the diagnosis model are improved; 2) the method is suitable for diagnosis of various different types of brain diseases such as Alzheimer's disease, depression, children hyperactivity and the like.

Description

technical field [0001] The invention is a method for diagnosing brain diseases based on a 3D convolutional neural network, which belongs to the technical field of diagnosing methods for brain diseases. Background technique [0002] With the increasing pace of life in contemporary society, the incidence of various brain diseases is increasing year by year. Brain diseases mainly include Alzheimer's disease, Parkinson's disease, autism, depression, and autism in children. At present, there are nearly one billion patients with brain diseases in the world. It can be seen that brain diseases have become an important factor that threatens people's health. Prompt intervention and treatment in the early stages of brain disease can prevent further deterioration of the disease. Therefore, the early diagnosis of brain diseases is very important, which is also a main research direction of "Chinese Brain Science". [0003] In recent years, neuroimaging technology has developed continuou...

AI Technical Summary

Problems solved by technology

However, this feature extraction method can only be used for certain types of brain diseases and is not universal.

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