A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors (2019)
- Authors:
- USP affiliated authors: FABRO, ALEXANDRE TODOROVIC - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP
- Unidade: FMRP
- Subjects: RADIOMETRIA; NEOPLASIAS PULMONARES; CAVITAÇÃO
- Keywords: Radiomics; Lung cancer; Pseudocavitation; Cavitation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2019
- Source:
- Título: International Journal of Computer Assisted Radiology and Surgery
- ISSN: 1861-6410
- Volume/Número/Paginação/Ano: v. 14, suppl. 1, p. S78, 2019
- Conference titles: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition
-
ABNT
FERREIRA JUNIOR, José Raniery et al. A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 09 out. 2024. , 2019 -
APA
Ferreira Junior, J. R., Santos, M. K., Kikuchi, Y., Faleiros, M. C., Cipriano, F. E. G., Fabro, A. T., et al. (2019). A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. -
NLM
Ferreira Junior JR, Santos MK, Kikuchi Y, Faleiros MC, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78.[citado 2024 out. 09 ] -
Vancouver
Ferreira Junior JR, Santos MK, Kikuchi Y, Faleiros MC, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78.[citado 2024 out. 09 ] - Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis
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