Publisher
Springer Nature Switzerland
Reference27 articles.
1. Borchartt, T.B., et al.: Combining approaches for early diagnosis of breast diseases using thermal imaging. Int. J. Innovative Comput. Appl. 4(3–4), 163–183 (2012). https://doi.org/10.1504/IJICA.2012.050054
2. Borchartt, T.B., Conci, A., Lima, R.C.F., Resmini, R., Sanchez, A.: Breast thermography from an image processing viewpoint: a survey. Signal Process. 93(10), 2785–2803 (2013). https://doi.org/10.1016/j.sigpro.2012.08.012
3. Rodrigues, E. O., Conci, A., Borchartt, T. B., Paiva, A. C., Silva, A. C., MacHenry, T.: Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases. arXiv preprint arXiv:2208.14410 (2022)
4. Damiao, C.P., et al.: On the possibility of using temperature to aid in thyroid nodule investigation. Sci. Rep. 10(1), 1–10 (2020). https://doi.org/10.1038/s41598-020-78047-1
5. Gonçalves, C.B., Souza, J.R., Fernandes, H.: CNN optimization using surrogate evolutionary algorithm for breast cancer detection using infrared images. In: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), Shenzen, China, pp. 84–89 (2022). https://doi.org/10.1109/CBMS55023.2022.00022