A deep learning approach for COVID-19 screening and localization on chest x-ray images (2022)
Source: Proceedings of SPIE. Conference titles: SPIE Medical Imaging. Unidades: ICMC, FM, EP
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, RADIOGRAFIA, COVID-19
ABNT
MARCOMINI, Karem Daiane et al. A deep learning approach for COVID-19 screening and localization on chest x-ray images. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2613177. Acesso em: 14 set. 2024. , 2022APA
Marcomini, K. D., Cardenas, D. A. C., Traina, A. J. M., Krieger, J. E., & Gutierrez, M. A. (2022). A deep learning approach for COVID-19 screening and localization on chest x-ray images. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2613177NLM
Marcomini KD, Cardenas DAC, Traina AJM, Krieger JE, Gutierrez MA. A deep learning approach for COVID-19 screening and localization on chest x-ray images [Internet]. Proceedings of SPIE. 2022 ; 12033 1203327-1-1203327-9.[citado 2024 set. 14 ] Available from: https://doi.org/10.1117/12.2613177Vancouver
Marcomini KD, Cardenas DAC, Traina AJM, Krieger JE, Gutierrez MA. A deep learning approach for COVID-19 screening and localization on chest x-ray images [Internet]. Proceedings of SPIE. 2022 ; 12033 1203327-1-1203327-9.[citado 2024 set. 14 ] Available from: https://doi.org/10.1117/12.2613177