Ensemble Deep Learning Techniques for Advancing Breast Cancer Detection and Diagnosis

Author:

Ibrahim Adam M.,Hassan Ayia A.,Li Jianqiang,Pei Yan

Publisher

Springer Nature Singapore

Reference21 articles.

1. Shah, S.H., Iqbal, M.J., Ahmad, I., Khan, S., Rodrigues, J.J.P.C.: Optimized gene selection and classification of cancer from microarray gene expression data using deep learning. Neural Comput. Appl. 32(22), 17457–17468 (2020)

2. Gouda, W., Almurafeh, M., Humayun, M., Jhanjhi, N.Z.: Detection of COVID-19 based on chest X-rays using deep learning. Healthcare 10(4), 343 (2022)

3. Ismael, S.A., Mohammed, A., Hefny, H.: An enhanced deep learning approach for brain cancer MRI images classification using residual networks. Artif. Intell. Med. 102, 101779 (2020)

4. Dif, N., Elberrichi, Z.: A new deep learning model selection method for colorectal cancer classification. Int. J. Swarm Intell. Res. 11(2), 72–88 (2020)

5. Brohi, S.N., Pillai, T.R., Brohi, N.N., Jhanjhi, N.Z.: A multilayer perceptron model for the classification of breast cancer cells. Int. J. Comput. Digit. Syst. 10(2), 104–115 (2021)

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