Brain image classification method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a brain image classification method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining target resting state function image information of a brain region of a target object, and enabling the target resting state function image information to be obtained based on a resting state function magnetic resonance imaging technology; the target resting state function image information is processed, a target brain network map of the target object is obtained, and the target brain network map comprises target brain function connection images of the target object at at least two preset time points; inputting each target brain function connection image corresponding to the target brain network atlas into a pre-trained brain atlas classification model to obtain a prediction probability that the target object belongs to each preset category, the brain atlas classification model is obtained based on training of the sample brain network atlas and classification labels corresponding to the sample target brain network atlas. According to the technical scheme of the embodiment of the invention, the classification of the brain image can be accurately predicted.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a method, device, electronic device, and storage medium for classifying brain images. Background technique [0002] With the increasing pace of life in contemporary society, the incidence of various brain diseases is increasing year by year. Among them, Alzheimer's disease (AD) is the most common, progressive and irreversible senile neurological disease. diseases, and their influence on the current society is also increasing day by day. Mild cognitive impairment (MCI) is a state of cognitive impairment between normal aging and mild AD, belonging to a transitional stage, characterized by memory impairment or accompanied by other cognitive impairments, However, their social functions have not been affected, and the ability of daily life is not affected. Therefore, early identification of MCI patients is of great significance for improving the qu...

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Problems solved by technology

[0003] At present, the image information of brain regions has the characteristics of relatively small sample size, high dimensionality, large heterogeneity, and is easily interfered by

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