Please use this identifier to cite or link to this item:

Title: Diagnosis of Alzheimer Disease Through an Artificial Neural Network Based System
Authors: Ramalhosa, Ivo
Mateus, Pedro
Alves, Victor
Vicente, Henrique
Ferraz, Filipa
Neves, João
Neves, José
Keywords: Alzheimer Disease
Logic Programming
Medical Imaging
Intelligent Systems
Issue Date: 2018
Publisher: Springer International Publishing
Citation: Ramalhosa, I., Mateus, P., Alves, V., Vicente, H., Ferraz, F., Neves, J. & Neves, J., Diagnosis of Alzheimer Disease through an Artificial Neural Network based System, Advances in Intelligent Systems and Computing, Vol. 591, pp. 162–174, Springer International Publishing, Cham, Switzerland, 2018.
Abstract: Alzheimer’s Disease (AD) is referred to as one of the most common causes of dementia, which in itself justifies the interest and investment that is made in order to find new biomarkers to identify the disease in its early stages. Indeed, focusing on the hippocampus as a marker for AD, it would be object of analyse different methods of volume measurement and hippocampus segmentation. On the other hand, the computational framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a computational framework base on Artificial Neural Networks that grip on incomplete, unknown, and even self-contradictory information or knowledge.
ISBN: 978-3-319-60590-6
ISSN: 2194-5357 (print)
2194-5365 (electronic)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2018_AHFE_2017_RD.pdf45.86 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois