3PCNNB-Net: Three Parallel CNN Branches for Breast Cancer Classification Through Histopathological Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s40846-021-00620-4.pdf
Reference37 articles.
1. Christian, N. (2018). What to know about breast cancer. Retrieved February 19, 2020, from https://www.medicalnewstoday.com/articles/37136
2. Li, Y., Wu, J., & Wu, Q. (2019). Classification of breast cancer histology images using multi-size and discriminative patches based on deep learning. IEEE Access, 7, 21400–21408. https://doi.org/10.1109/ACCESS.2019.2898044
3. He, L., Long, L. R., Antani, S., & Thoma, G. R. (2012). Histology image analysis for carcinoma detection and grading. Computer Methods and Programs in Biomedicine, 107(3), 538–556. https://doi.org/10.1016/j.cmpb.2011.12.007
4. Han, Z., Wei, B., Zheng, Y., Yin, Y., Li, K., & Li, S. (2017). Breast cancer multi-classification from histopathological images with structured deep learning model. Scientific Reports, 7(1), 4172. https://doi.org/10.1038/s41598-017-04075-z
5. Shen, D., Wu, G., & Suk, H.-I. (2017). Deep learning in medical image analysis. Annual Review of Biomedical Engineering, 19, 221–248. https://doi.org/10.1146/annurev-bioeng-071516-044442
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