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pro vyhledávání: '"João Luiz Azevedo de Carvalho"'
Autor:
Francisco Assis de Oliveira Nascimento, Raimundo Guimarães Saraiva Junior, Edilaine Gonçalves Costa de Faria, Tony Alexandre Medeiros da Silva, João Luiz Azevedo de Carvalho
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 66 (2023)
Abstract The motivation of this work is to investigate two technological AI paths, evaluate the performance, and discuss the results. Using a covid-19 chest X-ray images databank, we address the two distinct experiments to this problem: (1) an invest
Externí odkaz:
https://doaj.org/article/8ab04382e1634cfabf1ef0b52c71d882
Autor:
Tony Alexandre Medeiros, Raimundo Guimarães Saraiva Junior, Guilherme de Souza e Cassia, Francisco Assis de Oliveira Nascimento, João Luiz Azevedo de Carvalho
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 66 (2023)
Abstract Gliomas comprise the vast majority of all malignant brain tumors. Low-grade glioma patients with combined whole-arm losses of 1p and 19q chromosomes were shown to have significantly better overall survival rates compared to non-deleted patie
Externí odkaz:
https://doaj.org/article/8b292dc72ee2412e90f42d31e7858637
Publikováno v:
Ingeniería, Vol 17, Iss 2, Pp 35-45 (2012)
The reconstruction of magnetic resonance imaging (MRI) data can be a computationally demanding task. Signal-to-noise ratio is also a concern, especially in high-resolution imaging. Data compression may be useful not only for reducing reconstruction c
Externí odkaz:
https://doaj.org/article/dd79fc96d241465c86c60ae85638efeb
Autor:
Tony Alexandre Medeiros da Silva, Eduardo Batista de Carvalho, Guilherme de Souza e Cassia, João Luiz Azevedo de Carvalho
A radiômica apresenta-se como uma área de pesquisa emergente, objetivando extrair dados de alta dimensionalidade de imagens clínicas. As etapas da radiômica apresentam entradas e saídas bem definidas, as quais, se cuidadosamente avaliadas, forne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08ad52bf22193855e62e993544c28133
