A model to perform prediction based on feature extraction of histopathological images of the breast
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16245-5.pdf
Reference42 articles.
1. Abernathy K, Abernathy Z, Baxter A, Stevens M (2020) Global Dynamics of a Breast Cancer Competition Model. Differ Equ Dynam Syst 28(4):791–805. https://doi.org/10.1007/s12591-017-0346-x
2. Agossou C, Atchadé MN, Djibril AM, Kurisheva SV (2022) Mathematical modeling and machine learning for public health decision-making: the case of breast cancer in Benin. Math Biosci Eng 19(2):1697–1720
3. Alameddine AK, Conlin F, Binnall B (2018) An Introduction to the Mathematical Modeling in the Study of Cancer Systems Biology. Cancer Inform. 17. https://doi.org/10.1177/1176935118799754
4. Botesteanu DA, Lipkowitz S, Lee JM, Levy D (2016) Mathematical models of breast and ovarian cancers. Wiley Interdiscip Rev Syst Biol Med 8(4):337–362
5. Carvalho RH, Martins AS, Neves LA, Nascimento MZ (2020) Analysis of Features for Breast Cancer Recognition in Different Magnifications of Histopathological Images. 2020 International Conference on Systems, Signals and Image Processing (IWSSIP), Niteroi, pp 39–44. https://doi.org/10.1109/IWSSIP48289.2020.9145129
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