A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection

S Hansun, A Argha, H Alinejad-Rokny… - … on Radiation and …, 2024 - ieeexplore.ieee.org
Transfer Learning (TL) is a strategic solution to handle vast data volume requirements in
Deep Learning (DL). It transfers knowledge learned from a large base dataset, as a Pre …

Diagnosticando Tuberculose com Redes Neurais Artificiais e Recursos BPPC

AU Fonseca, JP Felix, GS Vieira, BM Rocha… - Journal of Health …, 2023 - jhi.sbis.org.br
Tuberculose é uma doença grave e contagiosa que mata milhões de pessoas, sendo um
problema de saúde pública global. Enquanto isso, o uso da Inteligência Artificial na …

[HTML][HTML] A novel tuberculosis diagnosis approach using feed-forward neural networks and binary pattern of phase congruency

AU Da Fonseca, PL Parreira, G da Silva Vieira… - Intelligent Systems with …, 2024 - Elsevier
Tuberculosis is a severe and contagious lung disease that kills more than one million
people annually, representing a real public health problem worldwide. Meanwhile …

Automatic tuberculosis detection using binary pattern of phase congruency

AU Da Fonseca, JP Felix, GDS Vieira… - 2022 international …, 2022 - ieeexplore.ieee.org
Computational solutions to assist the automatic analysis of radiographic images are already
a reality. Commercial solutions for the diagnosis of tuberculosis have shown exceptional …

Uma nova abordagem de padrões binários em radiografias de tórax para avançar o diagnóstico de tuberculose

AUF da Fonseca, EA Nogueira… - Journal of Health …, 2024 - jhi.sbis.org.br
Objetivo: A tuberculose (TB) afeta milhões de pessoas, principalmente as mais miseráveis,
revelando desigualdades sociais. Apesar dos avanços da inteligência artificial (IA) no …

[PDF][PDF] Intelligent Systems with Applications

AU da Fonseca, PL Parreira, G da Silva Vieira, JP Felix… - researchgate.net
Tuberculosis is a severe and contagious lung disease that kills more than one million
people annually, representing a real public health problem worldwide. Meanwhile …