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
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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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1109/CBMS.2019.00118
