Linares, Oscar Alonso Cuadros 
; Faiçal, Bruno Squizato ; Barbosa, Paulo Renato Campos; Hamann, Bernd; Fabro, Alexandre Todorovic ; Traina, Agma Juci Machado
Fonte: Proceedings. Nome do evento: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FMRP, ICMC
Assuntos: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, DOENÇAS PULMONARES INTERSTICIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Alonso Cuadros et al. How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00118. Acesso em: 09 nov. 2025.APA
Linares, O. A. C., Faiçal, B. S., Barbosa, P. R. C., Hamann, B., Fabro, A. T., & Traina, A. J. M. (2019). How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00118NLM
Linares OAC, Faiçal BS, Barbosa PRC, Hamann B, Fabro AT, Traina AJM. How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis [Internet]. Proceedings. 2019 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1109/CBMS.2019.00118Vancouver
Linares OAC, Faiçal BS, Barbosa PRC, Hamann B, Fabro AT, Traina AJM. How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis [Internet]. Proceedings. 2019 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1109/CBMS.2019.00118
