Detecting and mitigating issues in image-based COVID-19 diagnosis (2022)
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: International Conference on Machine Learning - ICML. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, COVID-19
ABNT
SILVA, João Marcos Cardoso da e REZENDE, Pedro Martelleto Bressane e PONTI, Moacir Antonelli. Detecting and mitigating issues in image-based COVID-19 diagnosis. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v184/silva22a.html. Acesso em: 06 nov. 2024. , 2022APA
Silva, J. M. C. da, Rezende, P. M. B., & Ponti, M. A. (2022). Detecting and mitigating issues in image-based COVID-19 diagnosis. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v184/silva22a.htmlNLM
Silva JMC da, Rezende PMB, Ponti MA. Detecting and mitigating issues in image-based COVID-19 diagnosis [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 184 127-135.[citado 2024 nov. 06 ] Available from: https://proceedings.mlr.press/v184/silva22a.htmlVancouver
Silva JMC da, Rezende PMB, Ponti MA. Detecting and mitigating issues in image-based COVID-19 diagnosis [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 184 127-135.[citado 2024 nov. 06 ] Available from: https://proceedings.mlr.press/v184/silva22a.html