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Artigo de periodico
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal (2023)
Franco, Felipe ; Oliveira, Jessica Sales; Portolese, Joana ; Sumiya, Fernando Mitsuo ; Silva, Andréia F.; Lima, Ariane Machado ; Marques, Fátima de Lourdes dos Santos Nunes ; Brentani, Helena
Fonte: BMC Medical Informatics and Decision Making. Unidades: EACH, FM, BIOINFORMÁTICA
Assunto: TRANSTORNO DO ESPECTRO AUTISTA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FRANCO, Felipe et al. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. BMC Medical Informatics and Decision Making, v. 23, n. 285, p. 01-09, 2023Tradução . . Disponível em: http://dx.doi.org/10.1186/s12911-023-02389-9. Acesso em: 08 jul. 2024.
APA
Franco, F., Oliveira, J. S., Portolese, J., Sumiya, F. M., Silva, A. F., Lima, A. M., et al. (2023). Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. BMC Medical Informatics and Decision Making, 23( 285), 01-09. doi:10.1186/s12911-023-02389-9
NLM
Franco F, Oliveira JS, Portolese J, Sumiya FM, Silva AF, Lima AM, Marques F de L dos SN, Brentani H. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal [Internet]. BMC Medical Informatics and Decision Making. 2023 ; 23( 285): 01-09.[citado 2024 jul. 08 ] Available from: http://dx.doi.org/10.1186/s12911-023-02389-9
Vancouver
Franco F, Oliveira JS, Portolese J, Sumiya FM, Silva AF, Lima AM, Marques F de L dos SN, Brentani H. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal [Internet]. BMC Medical Informatics and Decision Making. 2023 ; 23( 285): 01-09.[citado 2024 jul. 08 ] Available from: http://dx.doi.org/10.1186/s12911-023-02389-9
Artigo de periodico
MicroRNA target prediction tools for animals: Where we are at and where we are going to -a systematic review (2022)
Feitosa, Rayssa Maria de Melo Wanderley; Oliveira, Paula Prieto; Brentani, Helena Paula ; Lima, Ariane Machado
Fonte: Computational Biology and Chemistry. Unidades: FM, EACH
Assunto: ANIMAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FEITOSA, Rayssa Maria de Melo Wanderley et al. MicroRNA target prediction tools for animals: Where we are at and where we are going to -a systematic review. Computational Biology and Chemistry, p. 01-27, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compbiolchem.2022.107729. Acesso em: 08 jul. 2024.
APA
Feitosa, R. M. de M. W., Oliveira, P. P., Brentani, H. P., & Lima, A. M. (2022). MicroRNA target prediction tools for animals: Where we are at and where we are going to -a systematic review. Computational Biology and Chemistry, 01-27. doi:10.1016/j.compbiolchem.2022.107729
NLM
Feitosa RM de MW, Oliveira PP, Brentani HP, Lima AM. MicroRNA target prediction tools for animals: Where we are at and where we are going to -a systematic review [Internet]. Computational Biology and Chemistry. 2022 ; 01-27.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.compbiolchem.2022.107729
Vancouver
Feitosa RM de MW, Oliveira PP, Brentani HP, Lima AM. MicroRNA target prediction tools for animals: Where we are at and where we are going to -a systematic review [Internet]. Computational Biology and Chemistry. 2022 ; 01-27.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.compbiolchem.2022.107729
Artigo de periodico
Is mass classification in mammograms a solved problem?: a critical review over the last 20 years (2019)
Pedro, Ricardo Wandre Dias ; Lima, Ariane Machado ; Marques, Fátima de Lourdes dos Santos Nunes
Fonte: Expert Systems with Applications: an international journal. Unidade: EACH
Assuntos: NEOPLASIAS MAMÁRIAS, DIAGNÓSTICO, MAMOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEDRO, Ricardo Wandre Dias e LIMA, Ariane Machado e MARQUES, Fátima de Lourdes dos Santos Nunes. Is mass classification in mammograms a solved problem?: a critical review over the last 20 years. Expert Systems with Applications: an international journal, v. 119, p. 90-103, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.10.032. Acesso em: 08 jul. 2024.
APA
Pedro, R. W. D., Lima, A. M., & Marques, F. de L. dos S. N. (2019). Is mass classification in mammograms a solved problem?: a critical review over the last 20 years. Expert Systems with Applications: an international journal, 119, 90-103. doi:10.1016/j.eswa.2018.10.032
NLM
Pedro RWD, Lima AM, Marques F de L dos SN. Is mass classification in mammograms a solved problem?: a critical review over the last 20 years [Internet]. Expert Systems with Applications: an international journal. 2019 ; 119 90-103.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.eswa.2018.10.032
Vancouver
Pedro RWD, Lima AM, Marques F de L dos SN. Is mass classification in mammograms a solved problem?: a critical review over the last 20 years [Internet]. Expert Systems with Applications: an international journal. 2019 ; 119 90-103.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.eswa.2018.10.032

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