A deep learning line to assess patient’s lung cancer stages

Our goal is to pursue a vision of developing and maintaining a comprehensive and integrated computer model to help physicians plan the most appropriate treatment and anticipate a patient’s prospects for the extent of cancer. For example, cancer can be treated at an early stage by surgery or radiatio...

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Detalhes bibliográficos
Autor principal: Dias, André (author)
Outros Autores: Fernandes, João Vieira (author), Monteiro, Rui (author), Machado, Joana (author), Ferraz, Filipa Tinoco (author), Neves, João (author), Sampaio, Luzia (author), Ribeiro, Jorge (author), Vicente, Henrique (author), Alves, Victor (author), Neves, José (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2019
Assuntos:
Case-based reasoning
Computed Tomography
Intelligent systems
Knowledge representation and reasoning
Logic programming
Lung cancer
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
Texto completo:https://hdl.handle.net/1822/71341
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/71341

Texto Completo

https://hdl.handle.net/1822/71341

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