干旱区生态环境知识资源中心(Arid): Predicting the Early Stages of the Alzheimer's Disease via Combined Brain Multi-projections and Small Datasets

Arid

DOI	10.5220/0007404705530560
	Predicting the Early Stages of the Alzheimer's Disease via Combined Brain Multi-projections and Small Datasets
	Duarte, Kaue T. N.; de Paiva, Pedro V. V.; Martins, Paulo S.; Carvalho, Marco A. G.
通讯作者	Duarte, KTN (corresponding author), Univ Campinas UNICAMP, Sch Technol, Limeira, Brazil.
会议名称	14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)
会议日期	FEB 25-27, 2019
会议地点	Prague, CZECH REPUBLIC
英文摘要	Alzheimer is a neurodegenerative disease that usually affects the elderly. It compromises a patient's memory, his/her cognition, and perception of the environment. Alzheimer's Disease detection in its initial stage, known as Mild Cognitive Impairment, attracts special efforts from experts due to the possibility of using drugs to delay the progression of the disease. This paper aims to provide a method for the detection of this impairment condition via the classification of brain images using Transfer Learning - Deep Features and Support Vector Machine. The small number of images used in this work justifies the application of Transfer Learning, which employs weights from VGG19 initial layers used for ImageNet classification as deep features extractor, and then applies Support Vector Machines. Majority Voting, False-Positive Priori, and Super Learner were applied to combine previous classifiers predictions. The final step was a detection to assign a label to the previous voting outcomes, determining the presence or absence of an Alzheimers pre-condition. The OASIS-1 database was used with a total of 196 images (axial, coronal, and sagittal). Our method showed a promising performance in terms of accuracy, recall and specificity.
英文关键词	Classification Transfer Learning Mild Cognitive Impairment Clinical Dementia Rating Support Vector Machines
来源出版物	VISAPP: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 4
出版年	2019
页码	553-560
ISBN	978-989-758-354-4
出版者	SCITEPRESS
类型	Proceedings Paper
语种	英语
开放获取类型	hybrid
收录类别	CPCI-S
WOS记录号	WOS:000570779500063
WOS类目	Computer Science, Software Engineering ; Imaging Science & Photographic Technology
WOS研究方向	Computer Science ; Imaging Science & Photographic Technology
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369991
作者单位	[Duarte, Kaue T. N.; de Paiva, Pedro V. V.; Martins, Paulo S.; Carvalho, Marco A. G.] Univ Campinas UNICAMP, Sch Technol, Limeira, Brazil
推荐引用方式 GB/T 7714	Duarte, Kaue T. N.,de Paiva, Pedro V. V.,Martins, Paulo S.,et al. Predicting the Early Stages of the Alzheimer's Disease via Combined Brain Multi-projections and Small Datasets[C]:SCITEPRESS,2019:553-560.