Vogado, Luis 
; Veras, Rodrigo ; Aires, Kelson ; Araújo, Flávio ; Silva, Romuere ; Ponti, Moacir Antonelli ; Tavares, João Manuel R. S.
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, LEUCEMIA
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VOGADO, Luis et al. Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21092989. Acesso em: 15 nov. 2024.APA
Vogado, L., Veras, R., Aires, K., Araújo, F., Silva, R., Ponti, M. A., & Tavares, J. M. R. S. (2021). Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model. Sensors, 21, 1-22. doi:10.3390/s21092989NLM
Vogado L, Veras R, Aires K, Araújo F, Silva R, Ponti MA, Tavares JMRS. Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/s21092989Vancouver
Vogado L, Veras R, Aires K, Araújo F, Silva R, Ponti MA, Tavares JMRS. Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/s21092989
