Ferreira Junior, José Raniery; Santos, Marcel Koenigkam 
; Hironaka, T.; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic ; Yoshida, H.; Azevedo-Marques, Paulo Mazzoncini de
Source: International Journal of Computer Assisted Radiology and Surgery. Conference titles: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition. Unidade: FMRP
Subjects: RADIOMETRIA, NEOPLASIAS PULMONARES, CAVITAÇÃO
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FERREIRA JUNIOR, José Raniery et al. Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 01 nov. 2024. , 2019APA
Ferreira Junior, J. R., Santos, M. K., Hironaka, T., Cipriano, F. E. G., Fabro, A. T., Yoshida, H., & Azevedo-Marques, P. M. de. (2019). Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis. 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, Hironaka T, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78-S79.[citado 2024 nov. 01 ]Vancouver
Ferreira Junior JR, Santos MK, Hironaka T, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78-S79.[citado 2024 nov. 01 ]
