Valieris, Renan; Amaro, Lucas; Osório, Cynthia Aparecida Bueno de Toledo; Bueno, Adriana Passos; Mitrowsky, Rafael Andrés Rosales 
; Carraro, Dirce Maria; Nunes, Diana Noronha; Dias-Neto, Emmanuel; Silva, Israel Tojal da
Source: Cancers. Unidade: FFCLRP
Subjects: BIOMARCADORES, NEOPLASIAS, DNA, APRENDIZADO COMPUTACIONAL, TERAPÊUTICA MÉDICA, ALGORITMOS, CARCINOGÊNESE, IMUNOTERAPIA, RECOMBINAÇÃO GENÉTICA
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VALIERIS, Renan et al. Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer. Cancers, v. 12, n. 12, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.3390/cancers12123687. Acesso em: 17 nov. 2025.APA
Valieris, R., Amaro, L., Osório, C. A. B. de T., Bueno, A. P., Mitrowsky, R. A. R., Carraro, D. M., et al. (2020). Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer. Cancers, 12( 12), 1-12. doi:10.3390/cancers12123687NLM
Valieris R, Amaro L, Osório CAB de T, Bueno AP, Mitrowsky RAR, Carraro DM, Nunes DN, Dias-Neto E, Silva IT da. Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer [Internet]. Cancers. 2020 ; 12( 12): 1-12.[citado 2025 nov. 17 ] Available from: https://doi.org/10.3390/cancers12123687Vancouver
Valieris R, Amaro L, Osório CAB de T, Bueno AP, Mitrowsky RAR, Carraro DM, Nunes DN, Dias-Neto E, Silva IT da. Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer [Internet]. Cancers. 2020 ; 12( 12): 1-12.[citado 2025 nov. 17 ] Available from: https://doi.org/10.3390/cancers12123687
