Thorax and internal organs boundary geometries determination using convolutional neural networks in electrical impedance tomography (2024)
- Authors:
- USP affiliated authors: TAKIMOTO, ROGERIO YUGO - EP ; MARTINS, THIAGO DE CASTRO - EP ; TSUZUKI, MARCOS DE SALES GUERRA - EP ; DURAN, GUILHERME CORTEZ - EP ; SATO, ANDRÉ KUBAGAWA - EP ; UEDA, EDSON KENJI - EP
- Unidade: EP
- DOI: 10.1016/j.engappai.2024.108918
- Subjects: TOMOGRAFIA; IMPEDÂNCIA ELÉTRICA; ANATOMIA; REDES NEURAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Engineering applications of artificial intelligence
- ISSN: 0952-1976
- Volume/Número/Paginação/Ano: v. 136, Part A, article number 108918, p. 1-9, Oct. 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
OKAMURA, Lucas Hideki Takeuchi et al. Thorax and internal organs boundary geometries determination using convolutional neural networks in electrical impedance tomography. Engineering applications of artificial intelligence, v. 136, p. 1-9, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2024.108918. Acesso em: 25 fev. 2026. -
APA
Okamura, L. H. T., Costa, L. H. da, Duran, G. C., Sato, A. K., Ueda, E. K., Takimoto, R. Y., et al. (2024). Thorax and internal organs boundary geometries determination using convolutional neural networks in electrical impedance tomography. Engineering applications of artificial intelligence, 136, 1-9. doi:10.1016/j.engappai.2024.108918 -
NLM
Okamura LHT, Costa LH da, Duran GC, Sato AK, Ueda EK, Takimoto RY, Martins T de C, Tsuzuki MSG. Thorax and internal organs boundary geometries determination using convolutional neural networks in electrical impedance tomography [Internet]. Engineering applications of artificial intelligence. 2024 ; 136 1-9.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1016/j.engappai.2024.108918 -
Vancouver
Okamura LHT, Costa LH da, Duran GC, Sato AK, Ueda EK, Takimoto RY, Martins T de C, Tsuzuki MSG. Thorax and internal organs boundary geometries determination using convolutional neural networks in electrical impedance tomography [Internet]. Engineering applications of artificial intelligence. 2024 ; 136 1-9.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1016/j.engappai.2024.108918 - Análise de perfusão pulmonar em imagens de RM com elevada concentração de Gd
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Informações sobre o DOI: 10.1016/j.engappai.2024.108918 (Fonte: oaDOI API)
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