Research on the application of convolution neural network in the diagnosis of Alzheimer's disease
With the wide application of deep learning technology in disease diagnosis, especially the outstanding performance of convolutional neural network (CNN) in computer vision and image processing, more and more studies have proposed to use this algorithm to achieve the classification of Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal cognition (CN). This article systematically reviews the application progress of several classic convolutional neural network models in brain image analysis and diagnosis at different stages of Alzheimer's disease, and discusses the existing problems and gives the possible development directions in order to provide some references.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:38 |
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| Enthalten in: |
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi - 38(2021), 1 vom: 25. Feb., Seite 169-177 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
Xu, Baohong [VerfasserIn] |
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| Links: |
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| Themen: |
Alzheimer's disease |
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| Anmerkungen: |
Date Completed 27.04.2021 Date Revised 09.08.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.7507/1001-5515.202007019 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM324529732 |
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| 500 | |a Date Revised 09.08.2023 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a With the wide application of deep learning technology in disease diagnosis, especially the outstanding performance of convolutional neural network (CNN) in computer vision and image processing, more and more studies have proposed to use this algorithm to achieve the classification of Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal cognition (CN). This article systematically reviews the application progress of several classic convolutional neural network models in brain image analysis and diagnosis at different stages of Alzheimer's disease, and discusses the existing problems and gives the possible development directions in order to provide some references | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Systematic Review | |
| 650 | 4 | |a Alzheimer's disease | |
| 650 | 4 | |a brain imaging | |
| 650 | 4 | |a convolutional neural network | |
| 650 | 4 | |a mild cognitive impairment | |
| 700 | 1 | |a Ding, Chong |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Guizhi |e verfasserin |4 aut | |
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