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English Information

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Authors
# Name
1 Francisco Imperes(fcoimperes@ufpi.edu.br)
2 Vinicius Ponte(vinicius@ufpi.edu.br)
3 Arlino Magalhaes(arlino@ufpi.edu.br)
4 Rodrigo Veras(rveras@ufpi.edu.br)

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Reference
# Reference
1 Anh, L., Thanh, V., Son, N., Phuong, D. K., Anh, L., Ram, T., Minh, B., Tung, H., Thinh, N., Ha, V., and Ha, M. (2022). Efficient type and polarity classification of chromosome images using cnns: a primary evaluation on multiple datasets. In 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), pages 400–405.
2 Imperes, F. D. C. F., Machado, V. P., do Monte, S. J. H., dos Santos, A. R., de Sousa, L. P., da Silva, A. S., Pereira, E. M., and Veras, R. M. S. (2024). Explorando arquiteturas de redes neurais profundas na classificação de imagens de cariótipos humanos. Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024).
3 Lin, C., Chen, H., Huang, J., Peng, J., Guo, L., Yang, Z., Du, J., Li, S., Yin, A., and Zhao, G. (2022). Chromosomenet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. Computational Biology and Chemistry, 100:107731.
4 Magalhães, A., Monteiro, J., and Ângelo Brayner (2023). Main memory database instant recovery. In Anais Estendidos do XXXVIII Simpósio Brasileiro de Bancos de Dados (SBBD), pages 255–269, Porto Alegre, RS, Brasil. SBC.
5 Saranya, S. and Lakshmi, S. (2023). Classification of chromosomes to diagnose chromosomal abnormalities using cnn. In 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), pages 1–5.
6 Xia, C., Wang, J., Qin, Y., Wen, J., Liu, Z., Song, N., Wu, L., Chen, B., Gu, Y., and Yang, J. (2023). Karyonet: Chromosome recognition with end-to-end combinatorial optimization network. IEEE Transactions on Medical Imaging, 42(10):2899–2911.