Boukouvalas, D.T.; Bissaco, M.A.S.; Dellê, H.; Deana, A.M.; Belan, P.A.; Araújo, S.A.d.
Comprehensive Assessment of CNN Sensitivity in Automated Microorganism Classification: Effects of Compression, Non-Uniform Scaling, and Data Augmentation. BioMedInformatics 2025, 5, 61.
https://doi.org/10.3390/biomedinformatics5040061
AMA Style
Boukouvalas DT, Bissaco MAS, Dellê H, Deana AM, Belan PA, Araújo SAd.
Comprehensive Assessment of CNN Sensitivity in Automated Microorganism Classification: Effects of Compression, Non-Uniform Scaling, and Data Augmentation. BioMedInformatics. 2025; 5(4):61.
https://doi.org/10.3390/biomedinformatics5040061
Chicago/Turabian Style
Boukouvalas, Dimitria Theophanis, Márcia Aparecida Silva Bissaco, Humberto Dellê, Alessandro Melo Deana, Peterson Adriano Belan, and Sidnei Alves de Araújo.
2025. "Comprehensive Assessment of CNN Sensitivity in Automated Microorganism Classification: Effects of Compression, Non-Uniform Scaling, and Data Augmentation" BioMedInformatics 5, no. 4: 61.
https://doi.org/10.3390/biomedinformatics5040061
APA Style
Boukouvalas, D. T., Bissaco, M. A. S., Dellê, H., Deana, A. M., Belan, P. A., & Araújo, S. A. d.
(2025). Comprehensive Assessment of CNN Sensitivity in Automated Microorganism Classification: Effects of Compression, Non-Uniform Scaling, and Data Augmentation. BioMedInformatics, 5(4), 61.
https://doi.org/10.3390/biomedinformatics5040061