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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/22111
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| 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
Biomarker
Hippocampus
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. |
| URI: | http://link.springer.com/chapter/10.1007/978-3-319-60591-3_15
http://hdl.handle.net/10174/22111 |
| 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
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