Macedo, Alessandra Alaniz; Pessotti, Hugo C.; Almansa, Luciana F.; Felipe, Joaquim Cezar; Kimura, Edna Teruko 
Source: Computer Methods and Programs in Biomedicine. Unidades: FFCLRP, ICB
Subjects: DIAGNÓSTICO POR IMAGEM, MORFOMETRIA, INFORMÁTICA MÉDICA
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MACEDO, Alessandra Alaniz et al. Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules. Computer Methods and Programs in Biomedicine, v. 130, p. 162-174, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2016.03.017. Acesso em: 13 nov. 2024.APA
Macedo, A. A., Pessotti, H. C., Almansa, L. F., Felipe, J. C., & Kimura, E. T. (2016). Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules. Computer Methods and Programs in Biomedicine, 130, 162-174. doi:10.1016/j.cmpb.2016.03.017NLM
Macedo AA, Pessotti HC, Almansa LF, Felipe JC, Kimura ET. Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 130 162-174.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cmpb.2016.03.017Vancouver
Macedo AA, Pessotti HC, Almansa LF, Felipe JC, Kimura ET. Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 130 162-174.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cmpb.2016.03.017
