Source: Proceedings of SPIE. Conference titles: Multimodal Biomedical Imaging. Unidade: EESC
Subjects: CÁRIE DENTÁRIA, FLUORESCÊNCIA, DIAGNÓSTICO POR COMPUTADOR
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BESSANI, Michel et al. Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images. Proceedings of SPIE. Bellingham: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1117/12.2038633. Acesso em: 15 nov. 2024. , 2014APA
Bessani, M., Costa, M. M. da, Lins, E. C. C. C., & Maciel, C. D. (2014). Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images. Proceedings of SPIE. Bellingham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1117/12.2038633NLM
Bessani M, Costa MM da, Lins ECCC, Maciel CD. Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images [Internet]. Proceedings of SPIE. 2014 ; 8937 89370U [ 1-9].[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/12.2038633Vancouver
Bessani M, Costa MM da, Lins ECCC, Maciel CD. Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images [Internet]. Proceedings of SPIE. 2014 ; 8937 89370U [ 1-9].[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/12.2038633
