Segmenting skin ulcers and measuring the wound area using deep convolutional networks (2020)
Source: Computer Methods and Programs in Biomedicine. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, ÚLCERA CUTÂNEA, TECNOLOGIAS DA SAÚDE
ABNT
CHINO, Daniel Yoshinobu Takada et al. Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Computer Methods and Programs in Biomedicine, v. 191, p. 1-11, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2020.105376. Acesso em: 14 out. 2024.APA
Chino, D. Y. T., Scabora, L. de C., Cazzolato, M. T., Jorge, A. E. S., Traina Junior, C., & Traina, A. J. M. (2020). Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Computer Methods and Programs in Biomedicine, 191, 1-11. doi:10.1016/j.cmpb.2020.105376NLM
Chino DYT, Scabora L de C, Cazzolato MT, Jorge AES, Traina Junior C, Traina AJM. Segmenting skin ulcers and measuring the wound area using deep convolutional networks [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 191 1-11.[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.cmpb.2020.105376Vancouver
Chino DYT, Scabora L de C, Cazzolato MT, Jorge AES, Traina Junior C, Traina AJM. Segmenting skin ulcers and measuring the wound area using deep convolutional networks [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 191 1-11.[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.cmpb.2020.105376