Author:
Yang Yunkai,Yang Qijia,Liu Weifeng,Liu Baodi
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province, China
Qingdao Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Akhil, M., Kumar, PVS.: "Breast Cancer Prognosis using Machine Learning Applications," 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, pp. 488–493 (2022)
2. Shang, M.Y., Guo, S., Zhang, Q., Pu, H.Z.: Breast cancer screening in China. J. Pract. Cancer 11, 1911–1914 (2020)
3. Xike, Z., Zhiqing, M., Wenhua, Z., et al.: A review of breast cancer histopathological image classification based on convolutional neural networks. Comput. Sci. 49(S2), 362–370 (2022)
4. Geetha, P. and Umamaheswari, S.: "Medical imaging modalities and deep learning algorithm for detecting breast cancer at the early stages," 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India pp. 1–8. (2022)
5. Spanhol, F.A., Oliveira, L.S., Petitjean, C., Heutte, L.: A dataset for breast cancer histopathological image classification. IEEE Trans. Biomed. Eng. 63(7), 1455–1462 (2016)