干旱区生态环境知识资源中心(Arid): Alzheimer's disease detection using convolutional neural networks and transfer learning based methods

Arid

DOI	10.1109/SSD49366.2020.9364155
	Alzheimer's disease detection using convolutional neural networks and transfer learning based methods
	Zaabi, Marwa; Smaoui, Nadia; Derbel, Houda; Hariri, Walid
通讯作者	Zaabi, M (corresponding author), Gabes Univ, CEM Lab, ENIG, Gabes, Tunisia.
会议名称	17th International Multi-Conference on Systems, Signals and Devices (SSD)
会议日期	JUL 20-23, 2020
会议地点	Sfax, TUNISIA
英文摘要	Alzheimer's disease (AD) remains a major public health problem. This neurodegenerative pathology affects generally old people. Its symptoms are loss of memory followed over the years by more hard ability of expression and various handicaps. Therefore, early detection of AD is become an active research area in recent years. In this paper, we propose a deep based method for the detection of AD (i.e. classify brain images into normal brain or brain with AD). The proposed method contains two main steps. The first step is region of interest extraction; it is based on the partition of the image into separate blocks to extract only the part that contains the hippocampus of the brain. The second step is the classification of images using two deep based techniques namely convolutional neural network (CNN) and Transfer Learning. In one hand, CNN allows extracting the characteristics from brain images, then classifies them into normal brain or AD brain. Transfer Learning, in the other hand, consists of using features acquired from the Alexnet architecture to classify the images. We have assessed the proposed method on Oasis dataset (Open Access Series of Imaging Studies). The obtained results show that the classification of images using Transfer Learning with 92.86% outperformed the CNN's classification rate.
英文关键词	Alzheimer's disease Region of interest Classification Convolutional neural network Transfer Learning Alexnet
来源出版物	PROCEEDINGS OF THE 2020 17TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD 2020)
ISSN	2474-0438
出版年	2020
页码	939-943
ISBN	978-1-7281-1080-6
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000662218000149
WOS类目	Engineering, Electrical & Electronic
WOS研究方向	Engineering
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353166
作者单位	[Zaabi, Marwa] Gabes Univ, CEM Lab, ENIG, Gabes, Tunisia; [Smaoui, Nadia] Sfax Univ, CEM Lab, ENIS, Sfax, Tunisia; [Derbel, Houda] Sfax Univ, CEM Lab, FSS, Sfax, Tunisia; [Hariri, Walid] Badji Mokhtar Annaba Univ, Labged Lab, Annaba, Algeria
推荐引用方式 GB/T 7714	Zaabi, Marwa,Smaoui, Nadia,Derbel, Houda,et al. Alzheimer's disease detection using convolutional neural networks and transfer learning based methods[C]:IEEE,2020:939-943.