Knowledge Resource Center for Ecological Environment in Arid Area
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. |
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