Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1574-1577

Alzheimer’s disease classification algorithm based on DCGAN and LSTM

Lin Ying1a
He Xiaofeng1a,2
Chen Lingna1a
Chen Junxi1b
1. a. School of Computer, b. Affiliated Nanhua Hospital, University of South China, Hengyang Hunan 421001, China
2. Xiangya School of Public Health, Central South University, Changsha 410008, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0853

Abstract

Aiming to the problems that the excessive parameters of 3D model and the lack of continuous features of 2D model in existing AD classification methods, this paper proposed a brain MRI(magnetic resonance imaging) image classification algorithm which combined 2D convolutional neural networks and LSTM. By making use of the DCGAN, the convolutional layers permitted to capture image features without labels. The method firstly trained CNN by unsupervised way. Secondly, it transformed MRI image sequence into feature sequence and trained LSTM network. Finally, it combined the feature sequence and the hidden states of LSTM network to classify. The experimental results, compared with 3D model, show that the algorithm has less parameters, achieves 93.93% classification accuracy for NC(normal control) vs. AD and 86.27% for NC vs. MCI(mild cognitive impairments), respectively.

Foundation Support

国家自然科学基金资助项目(61504055)
2018年湖南省研究生科研创新项目(2018KYY080)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0853
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1574-1577
Serial Number: 1001-3695(2020)05-061-1574-04

Publish History

[2020-05-05] Printed Article

Cite This Article

林颖, 何啸峰, 陈灵娜, 等. 结合DCGAN与LSTM的阿兹海默症分类算法 [J]. 计算机应用研究, 2020, 37 (5): 1574-1577. (Lin Ying, He Xiaofeng, Chen Lingna, et al. Alzheimer’s disease classification algorithm based on DCGAN and LSTM [J]. Application Research of Computers, 2020, 37 (5): 1574-1577. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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