干旱区生态环境知识资源中心(Arid): Towards an early diagnosis of Alzheimer disease: a precise and parallel image segmentation approach via derived hybrid cross entropy thresholding method

Arid

DOI	10.1007/s11042-022-12575-y
	Towards an early diagnosis of Alzheimer disease: a precise and parallel image segmentation approach via derived hybrid cross entropy thresholding method
	Rawas, Soha; El-Zaart, Ali
通讯作者	Rawas, S (corresponding author)，Beirut Arab Univ, Dept Math & Comp Sci, Beirut, Lebanon.
来源期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
EISSN	1573-7721
出版年	2022-02
英文摘要	Alzheimer's disease (AD) is an irreversible and progressive brain disease causing brain degenerative disorder and dementia. An early diagnosis of AD provides the individual an opportunity to participate in clinical trials. Computer Aided Diagnosis (CAD) system in the health care sector has been widely used and plays an important role in detecting such diseases. However, the main challenge of such systems is through identifying the region of interest obtained through precise segmentation. This paper attempts to solve the segmentation issue by developing a precise image segmentation model. The proposed model used a derivation of a hybrid cross entropy thresholding technique for the precise extraction of infected regions. In other words, a novel segmentation methodology has been proposed using the output derivation of both Gamma and Gaussian distributions. Moreover, to tackle the performance and time-consuming problems in digital image segmentation, a parallel boosting methodology has been developed and implemented. Through using the ADNI, OASIS, and MIRIAD benchmark datasets, the experimentation results validate the effectiveness of the proposed model through achieving more than 90% accuracy with 2x times speed improvement compared to other benchmark segmentation methods.
英文关键词	Alzheimer's disease Segmentation Entropy thresholding Hybrid distributions Parallel computing
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000758073800001
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS研究方向	Computer Science ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377255
作者单位	[Rawas, Soha; El-Zaart, Ali] Beirut Arab Univ, Dept Math & Comp Sci, Beirut, Lebanon
推荐引用方式 GB/T 7714	Rawas, Soha,El-Zaart, Ali. Towards an early diagnosis of Alzheimer disease: a precise and parallel image segmentation approach via derived hybrid cross entropy thresholding method[J],2022.
APA	Rawas, Soha,&El-Zaart, Ali.(2022).Towards an early diagnosis of Alzheimer disease: a precise and parallel image segmentation approach via derived hybrid cross entropy thresholding method.MULTIMEDIA TOOLS AND APPLICATIONS.
MLA	Rawas, Soha,et al."Towards an early diagnosis of Alzheimer disease: a precise and parallel image segmentation approach via derived hybrid cross entropy thresholding method".MULTIMEDIA TOOLS AND APPLICATIONS (2022).