Enide Luciana Belmont Montefusco
Biographic Data
| ID | 9706584 |
|---|---|
| NAME | Enide Luciana Belmont Montefusco |
| GIVEN NAMES | Enide Luciana Belmont |
| FAMILY NAME | Montefusco |
| SIGNATURE | MONTEFUSCO E L B |
| AFFILIATIONS | Universidade Federal do Amazonas |
| ORCID | 0000-0002-6196-4204 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Inteligência Artificial com Redes Neurais Convolucionais para Detecção de Microfilárias na Amazônia Brasileira
A Amazônia apresenta limitações estruturais persistentes para o diagnóstico das filarioses. Este estudo teve como objetivo desenvolver e avaliar um modelo de inteligência artificial baseado em redes neurais convolucionais para classificar imagens microscópicas quanto à presença ou ausência de microfilárias. Trata-se de um estudo tecnológico, quantitativo e aplicado, no qual amostras sanguíneas de 43 cães foram coletadas na zona rural de Manaus, p…
Artificial Intelligence with Convolutional Neural Networks for Microfilariae Detection in the Brazilian Amazon
The Amazon region faces persistent structural limitations for the diagnosis of filarial diseases. This study aimed to develop and evaluate an artificial intelligence model based on convolutional neural networks to classify microscopic images according to the presence or absence of microfilariae. This was a technological, quantitative, and applied study in which blood samples from 43 dogs were collected in rural areas of Manaus, prepared on staine…
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Inteligência Artificial com Redes Neurais Convolucionais para Detecção de Microfilárias na Amazônia Brasileira
A Amazônia apresenta limitações estruturais persistentes para o diagnóstico das filarioses. Este estudo teve como objetivo desenvolver e avaliar um modelo de inteligência artificial baseado em redes neurais convolucionais para classificar imagens microscópicas quanto à presença ou ausência de microfilárias. Trata-se de um estudo tecnológico, quantitativo e aplicado, no qual amostras sanguíneas de 43 cães foram coletadas na zona rural de Manaus, p…
Artificial Intelligence with Convolutional Neural Networks for Microfilariae Detection in the Brazilian Amazon
The Amazon region faces persistent structural limitations for the diagnosis of filarial diseases. This study aimed to develop and evaluate an artificial intelligence model based on convolutional neural networks to classify microscopic images according to the presence or absence of microfilariae. This was a technological, quantitative, and applied study in which blood samples from 43 dogs were collected in rural areas of Manaus, prepared on staine…
Digital Imaging for Blood Diseases (2 works) · Parasitic Diseases Research and Treatment (2 works) · AI in cancer detection (1 work) · Amazon rainforest (1 work) · Artificial neural network (1 work) · Convolutional neural network (1 work) · Data collection (1 work) · Fault (geology) (1 work) · Ground truth (1 work) · Laser capture microdissection (1 work)