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Alzheimer's disease detection method based on deep learning, and computer readable medium

A detection method and deep learning technology, applied in neural learning methods, computer components, computing, etc., can solve the problems of expensive medical data acquisition and difficulty in data acquisition, saving computing overhead, good robustness, and enhancing overall robustness. awesome effect

Pending Publication Date: 2021-12-07
TONGJI UNIV
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Problems solved by technology

In the traditional algorithm, the gray matter voxel volume based on the artificially selected region of interest (ROI) is usually used as a feature, accompanied by complex feature selection and learning steps. Some of the existing technologies are based on single-modal data and some are based on Multi-modal data, the application of multi-modal data is not a small difficulty, because medical data itself is very expensive to obtain, if multi-modal data is needed, data acquisition becomes more difficult, so the existing technology still has There is no simple and effective way to detect Alzheimer's disease

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  • Alzheimer's disease detection method based on deep learning, and computer readable medium
  • Alzheimer's disease detection method based on deep learning, and computer readable medium
  • Alzheimer's disease detection method based on deep learning, and computer readable medium

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Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0064]Structural magnetic resonance imaging (sMRI) is a modality widely adopted by researchers, and it is also one with a relatively large amount of data. The sMRI image is a 3D image. In the current research, 3D CNN or an algorithm based on block (that is, to divide the 3D image into different regions) is generally used. Similar to the work of Hon et al., Jain R et al. who classify based on slices, this embodiment selects the most informative slices in sM...

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Abstract

The invention relates to an Alzheimer's disease detection method based on deep learning, and a computer readable medium, and the method comprises the steps: 1, obtaining a structural magnetic resonance imaging sMRI image training set, and carrying out the data preprocessing; 2, selecting an image slice with the most information content based on entropy; 3, constructing an Alzheimer's disease detection model, and training the detection model by using the image slices screened in the step 2; and 4, inputting a structural magnetic resonance imaging sMRI image to be detected into the detection model to obtain a detection result. Compared with the prior art, the invention has the advantages of high accuracy, good robustness, low calculation overhead and the like.

Description

technical field [0001] The present invention relates to the technical field of Alzheimer's disease prediction, in particular to a method for detecting Alzheimer's disease based on deep learning and a computer-readable medium. Background technique [0002] Alzheimer's disease (AD), also known as senile dementia, is a chronic progressive neurodegenerative disease characterized by three main symptoms and the most common cause of dementia, for which there is currently no treatment The pathological damage to the brain in AD can be slowed or stopped, so the disease is fatal. Currently, there is consensus that effective treatments to slow or stop the progression of AD should focus on the early stages of the disease, namely MCI, or even the preclinical stages. Early diagnosis and prognosis are of great significance to delay the progression of AD and prolong the life of patients. [0003] There have been some studies on the image detection of Alzheimer's disease, either based on tr...

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Application Information

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IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G06N20/20
CPCG06T7/0012G06N3/08G06N20/20G06T2207/10088G06T2207/20081G06N3/047G06N3/048G06N3/045G06F18/2414G06F18/25G06F18/259
Inventor 赵生捷叶珂男张荣庆
Owner TONGJI UNIV
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