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English Information

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Authors
# Name
1 João Henrique Vieira(joaohvc1@gmail.com)
2 Carolina Watanabe(carolina@unir.br)

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Reference
# Reference
1 Ahmed, A. (2020). Implementing relevance feedback for content-based medical image retrieval. IEEE Access, 8:79969–79976.
2 Chen, L., Gao, Y., Song, X., Li, Z., Zhu, Y., Miao, X., and Jensen, C. S. (2022). Indexing metric spaces for exact similarity search. ACM Computing Surveys, 55(6):1–39.
3 Dhaygude, M. A. and Kinariwala, S. (2022). A literature survey on content-based information retrieval. J. Comput. Technol. (JCT), 11:1–6.
4 Giakoumoglou, N. (2021). PyFeats: Open source software for image feature extraction. https://github.com/giakou4/pyfeats.
5 Haralick, R. M., Shanmugam, K., and Dinstein, I. H. (1973). Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, (6):610–621.
6 Marcacini, R. M. et al. (2023). Calibração de distância em métodos de acesso métrico por meio de realimentação de relevância. In Proceedings of the 38th Brazilian Symposium on Databases (SBBD), pages 89–101.
7 Rahman, T. et al. (2022). COVID-19 Radiography Database. https://www.kaggle.com/datasets/tawsifurrahman/covid19-radiography-database.
8 Rui, Y., Huang, T. S., Ortega, M., and Mehrotra, S. (1998). Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 8(5):644–655.
9 Tian, D. (2018). A review on relevance feedback for content-based image retrieval. J. Inf. Hiding Multim. Signal Process., 9(1):108–119.
10 Traina, C., Traina, A., Faloutsos, C., and Seeger, B. (2002). Fast indexing and visualization of metric data sets using slim-trees. IEEE Transactions on Knowledge and Data Engineering, 14(2):244–260.
11 Vishraj, R., Gupta, S., and Singh, S. (2022). A comprehensive review of content-based image retrieval systems using deep learning and hand-crafted features in medical imaging. Computers and Electrical Engineering, 104:108450.
12 Yin, C., Tang, J., Yuan, T., Xu, Z., and Wang, Y. (2021). Bridging the gap between semantic segmentation and instance segmentation. IEEE Transactions on Multimedia, 24:4183–4196.