Predicting Diabetic Foot Maturing Through Evolutionary Computation

It is a twenty-first-century disease, its numbers are still growing exponentially. This brings one to the subject of this work, the Maturing of Diabetic Foot which, like diabetes, rises to values never seen before. It is envisaging the development of an ImageJ plug-into extract relevant feature from...

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Detalhes bibliográficos
Autor principal: Neves, José (author)
Outros Autores: Alves, André (author), Prata, Marco (author), Ribeiro, Mário (author), Alves, Victor (author), Ferraz, Filipa (author), Neves, João (author), Ribeiro, Jorge (author), Capita, António (author), Vicente, Henrique (author)
Formato: article
Idioma:eng
Publicado em: 2019
Assuntos:
Diabetic Mellitus
Case-Based Reasoning
Artificial Neural Networks
ImageJ
Many-Valued Machines
Texto completo:http://hdl.handle.net/10174/25562
País:Portugal
Oai:oai:dspace.uevora.pt:10174/25562

Texto Completo

http://hdl.handle.net/10174/25562

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