A MRI view of brain tumor outcome prediction
| Autor: | Victor Alves, Henrique Vicente, Maria Cecília Pereira dos Santos, Cristiana Neto, Filipa Ferraz, Inês Dias, José Neves, João Neves |
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| Přispěvatelé: | Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Decision support system
medicine.medical_specialty Knowledge representation and reasoning Logic Programming Brain tumor outcome prediction Brain tumor Context (language use) Brain Tumor Outcome Prediction 3D slicer Outcome (game theory) Logic programming Feature Extraction 03 medical and health sciences 0302 clinical medicine Magnetic resonance imaging 3D Slicer Brain Tumor Medicine Case-based reasoning Intensive care medicine medicine.diagnostic_test business.industry 05 social sciences 050301 education Cancer Case-Based Reasoning medicine.disease Magnetic Resonance Imaging 3. Good health Feature extraction business 0503 education 030217 neurology & neurosurgery Knowledge Representation and Reasoning |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação instacron:RCAAP Advances in Science, Technology & Innovation ISBN: 9783030016616 |
| Popis: | On the one hand, cancer and tumor are one of the most feared terms in today’s society. It refers to an unstable growth of cells that potentially invade the surrounding tissues and may eventually lead to edema or even death. On the other hand, the term tumor is often misleading since people assume that it is the same as cancer, but this is not necessarily true. A cancer is a particularly threatening type of tumor. The word tumor simply refers to a mass, and in particular a brain tumor is a mass located in the patient’s brain that may seriously threaten his/her life. Thus, it is crucial to study which factors may influence the outcome of a brain tumor to improve the given treatment or even make the patient more contented. Therefore, this study presents a decision support system based on Magnetic Resonance Imaging (MRI) data or knowledge (if the data is presented in context) that allows for brain tumor outcome prediction. It describes an innovative approach to cater for brain illness where Logic Programming comes in support of a computational approach based on Case Based Reasoning. An attempt is made to predict whether a patient will die or survive with or without a tumor, where the data or knowledge may be of type unknown, incomplete or even self-contradictory. This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. |
| Databáze: | OpenAIRE |
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