Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis (2020)
- Authors:
- USP affiliated authors: FABRO, ALEXANDRE TODOROVIC - FMRP ; SANTOS, MARCEL KOENIGKAM - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP
- Unidade: FMRP
- DOI: 10.1007/s11548-020-02171-6
- Subjects: NEOPLASIAS PULMONARES; METÁSTASE ANIMAL; REDES NEURAIS; DIAGNÓSTICO POR COMPUTADOR; APRENDIZADO COMPUTACIONAL
- Keywords: Lung cancer; Distant metastasis; Lymph node metastasis; Convolutional neural networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2020
- Source:
- Título do periódico: International Journal of Computer Assisted Radiology and Surgery
- ISSN: 1861-6410
- Volume/Número/Paginação/Ano: v. 15, suppl. 1, p. S116-S117, 2020
- Conference titles: International Congress and Exhibition on Computer Assisted Radiology and Surgery - CARS
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
LIMA, Lucas Lins de et al. Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-020-02171-6. Acesso em: 20 maio 2024. , 2020 -
APA
Lima, L. L. de, Ferreiro Junior, J. R., Fabro, A. T., Cipriano, F., Faccio, A., Koenigkam-Santos, M., & Azevedo-Marques, P. M. de. (2020). Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-020-02171-6 -
NLM
Lima LL de, Ferreiro Junior JR, Fabro AT, Cipriano F, Faccio A, Koenigkam-Santos M, Azevedo-Marques PM de. Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 S116-S117.[citado 2024 maio 20 ] Available from: https://doi.org/10.1007/s11548-020-02171-6 -
Vancouver
Lima LL de, Ferreiro Junior JR, Fabro AT, Cipriano F, Faccio A, Koenigkam-Santos M, Azevedo-Marques PM de. Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 S116-S117.[citado 2024 maio 20 ] Available from: https://doi.org/10.1007/s11548-020-02171-6 - AI-based radiomic approach in high-resolution CT images for differential diagnosis of idiopathic pulmonary fibrosis
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Informações sobre o DOI: 10.1007/s11548-020-02171-6 (Fonte: oaDOI API)
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