Arid
DOI10.5220/0007404705530560
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
ISBN978-989-758-354-4
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.
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