Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71386
Título: | A case-based reasoning approach to GBM evolution |
Autor(es): | Mendonça, Ana Pereira, Joana Reis, Rita Alves, Victor Abelha, António Ferraz, Filipa Tinoco Neves, João Ribeiro, Jorge Vicente, Henrique Neves, José |
Palavras-chave: | Artificial Intelligence Case Based Reasoning GlioBlastoma Multiforme Knowledge Representation and Reasoning Logic Programming |
Data: | 2018 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Resumo(s): | GlioBastoma Multiforme (GBM) is an aggressive primary brain tumor characterized by a heterogeneous cell population that is genetically unstable and resistant to chemotherapy. Indeed, despite advances in medicine, patients diagnosed with GBM have a median survival of just one year. Magnetic Resonance Imaging (MRI) is the most widely used imaging technique for determining the location and size of brain tumors. Indisputably, this technique plays a major role in the diagnosis, treatment planning, and prognosis of GBM. Therefore, this study proposes a new Case Based Reasoning approach to problem solving that attempts to predict a patient’s GBM volume after five months of treatment based on features extracted from MR images and patient attributes such as age, gender, and type of treatment. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71386 |
ISBN: | 978-3-319-98445-2 |
e-ISBN: | 978-3-319-98446-9 |
DOI: | 10.1007/978-3-319-98446-9_46 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-319-98446-9_46 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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10.pdf Acesso restrito! | 351,74 kB | Adobe PDF | Ver/Abrir |