Study of Pann Components in Image Treatment for Medical Diagnostic Decision-Making / Estudo De Componentes Pann no Tratamento de Imagem para Tomada de Decisão de Diagnóstico Médico

Luiz Antônio de Lima, Jair Minoro Abe, Angel Antônio Gonzalez Martinez, Jonatas Santos de Souza, Flávio Amadeu Bernardini, Nilson Amado de Souza, Liliam Sayuri Sakamoto

Abstract


The hospital branch has benefited from offering activities that use collections of imaging tests for specialists to use for decision-making in conjunction with other clinical examinations. It is intended to study pathologies resulting from cancer cells. In this article, there is the possibility of presenting Artificial Intelligence solutions to support specialists. For this, the objective is to use the concepts of Paraconsistent Logic and Artificial Intelligence applied in Artificial Neural Networks and to propose the use of components of Paraconsistent Artificial Neural Networks (PANN) to support specialists in decision-making.

 

Keywords: Artificial Paraconsistent Neurons. Artificial Intelligence. Paraconsistent Logic. Deep Learning Paraconsistent.

 

 

RESUMO

 

O setor hospitalar se beneficiou de oferecer atividades que utilizam coleções de testes de imagem para que os especialistas possam usar para tomar decisões em conjunto com outros exames clínicos. O objetivo é estudar patologias resultantes de células cancerígenas. Neste artigo, há a possibilidade de apresentar soluções de Inteligência Artificial para apoiar os especialistas. Para isso, o objetivo é utilizar os conceitos de Lógica Paraconsistente e Inteligência Artificial aplicados em Redes Neurais Artificiais e propor o uso de componentes de Redes Neurais Artificiais Paraconsistentes (PANN) para apoiar os especialistas na tomada de decisões.

 

Palavras-chave: Neurônios Artificiais Paraconsistentes. Inteligência Artificial. Lógica Paraconsistente. Deep Learning Paraconsistente.

 

 


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DOI: http://dx.doi.org/10.12819/2021.18.7.11

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