Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging (2019)
- Authors:
- USP affiliated authors: FABRO, ALEXANDRE TODOROVIC - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; QUATRINA, SATHYA GERALDO - FMRP ; FRANCISCO, VICTOR - BIOENGENHARIA ; WADA, DANILO TADAO - FMRP ; FERREIRA, LUCIANA PIMENTEL - FMRP
- Unidades: FMRP; BIOENGENHARIA
- Subjects: APRENDIZADO COMPUTACIONAL; NEOPLASIAS PULMONARES; RESSONÂNCIA MAGNÉTICA; DIAGNÓSTICO POR COMPUTADOR
- Keywords: Machine learning; Lung cancer; Magnetic resonance imaging; Computer-aided diagnosis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2019
- Source:
- Título do periódico: International Journal of Computer Assisted Radiology and Surgery
- ISSN: 1861-6410
- Volume/Número/Paginação/Ano: v. 14, suppl. 1, p. S79-S80, 2019
- Conference titles: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition
-
ABNT
FRANCISCO, Victor et al. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 31 maio 2024. , 2019 -
APA
Francisco, V., Wada, D. T., Ferreira Junior, J. R., Fabro, A. T., Cipriano, F. E. G., Ferreira, L. P., et al. (2019). Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. -
NLM
Francisco V, Wada DT, Ferreira Junior JR, Fabro AT, Cipriano FEG, Ferreira LP, Quatrina SG, Santos MK, Azevedo-Marques PM de. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S79-S80.[citado 2024 maio 31 ] -
Vancouver
Francisco V, Wada DT, Ferreira Junior JR, Fabro AT, Cipriano FEG, Ferreira LP, Quatrina SG, Santos MK, Azevedo-Marques PM de. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S79-S80.[citado 2024 maio 31 ] - A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors
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