ARCHIVES
Original Article
Machine Learning Techniques for Early-Stage Breast Cancer Diagnosis and Detection
B.Geetha1
M.Ramya2
1 Department of Computer Science and Engineering, Sri Shanmugha College of Engineering and Technology, Sankari, Tamil Nadu, India. 2 Assistant Professor, Department of CSE, Sri Shanmugha College of Engineering and Technology, Sankari, Tamil Nadu, India.
Published Online: March-April 2026
Pages: 86-91
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260602014References
Mahmood T., Li J., Pei Y., Akhtar F., Imran A., Rehman K.U., A brief survey on breast cancer diagnostic with deep learning schemes using
multi-image modalities, IEEE Access, vol. 8, pp. 165779–165809, 2020.
2. Yadavendra Chand S., A comparative study of breast cancer tumor classification by classical machine learning methods and deep learning,
Machine Vision and Applications, vol. 31, 2020.R.A. Dar et al., Breast cancer detection using deep learning: Datasets, methods and challenges, *ScienceDirect, 2022.
4. M. Darwich et al., An evaluation of the effectiveness of machine learning techniques for breast cancer classification, Journal of Biomedical
Informatics, 2024.
5. A. Jafari et al., Machine-learning methods in detecting breast cancer and classification accuracy, Journal of Medical Systems, 2024.
6. T. Islam et al., Predictive modeling for breast cancer classification using explainable AI and machine learning, Scientific Reports, 2024.
7. T. Arravalli et al., Detection of breast cancer using machine learning: model comparison and performance evaluation, Scientific Reports,
2025.
8. M.A. Rahman et al., Advancements in breast cancer detection: A systematic review of machine and deep learning approaches, MDPI
Journal, 2025.
9. Effective Breast Cancer Detection model using ultrasound imaging and hybrid deep networks, Springer article by Y. Ali et al., 2025.
10. N.R. Hameed Alsaedi et al., Effective breast cancer classification using deep MLP and decision tree models, Applied Sciences, 2025.
11. AI-Assisted Breast Cancer Prediction, Classification, and Detection insights from G. Nuneti et al., Open Public Health Journal, 2025
12. A Sahu et al., Recent advancements in machine learning and deep learning-based breast cancer detection systems, 2023.
13. R. Jalloul et al., A Review of Machine Learning Techniques for Breast Cancer Detection, 2023.
14. A Mashekova et al., Review of AI techniques including explainability for breast cancer diagnostics, 2025
15. K. Shams, A. Ahmed, and M. R. Islam, “Breast cancer classification using machine learning techniques: A comparative analysis, ” IEEE
Access, vol. 9, pp. 150497–150508, 2021.
16. S. Albahli and M. Nawaz, “Deep learning-based framework for breast cancer detection and classification,” Computers in Biology and
Medicine, vol. 136, 2021.
17. R. Singh and P. K. Jain, “Feature selection-based machine learning approach for breast cancer diagnosis,” Expert Systems with
Applications, vol. 186, 2022.
18. M. A. Khan et al., “Explainable artificial intelligence for breast cancer classification using machine learning models,” Scientific Reports,
vol. 13, 2023.
19. L. Zhang, Y. Li, and H. Chen, “Hybrid machine learning models for early-stage breast cancer detection,” Applied Soft Computing, vol.
139, 2024.
20. T. Rahman, S. Hasan, and N. Ahmed, “A comparative evaluation of supervised learning algorithms for breast cancer prediction,” Journal of
Healthcare Engineering, 2025.
multi-image modalities, IEEE Access, vol. 8, pp. 165779–165809, 2020.
2. Yadavendra Chand S., A comparative study of breast cancer tumor classification by classical machine learning methods and deep learning,
Machine Vision and Applications, vol. 31, 2020.R.A. Dar et al., Breast cancer detection using deep learning: Datasets, methods and challenges, *ScienceDirect, 2022.
4. M. Darwich et al., An evaluation of the effectiveness of machine learning techniques for breast cancer classification, Journal of Biomedical
Informatics, 2024.
5. A. Jafari et al., Machine-learning methods in detecting breast cancer and classification accuracy, Journal of Medical Systems, 2024.
6. T. Islam et al., Predictive modeling for breast cancer classification using explainable AI and machine learning, Scientific Reports, 2024.
7. T. Arravalli et al., Detection of breast cancer using machine learning: model comparison and performance evaluation, Scientific Reports,
2025.
8. M.A. Rahman et al., Advancements in breast cancer detection: A systematic review of machine and deep learning approaches, MDPI
Journal, 2025.
9. Effective Breast Cancer Detection model using ultrasound imaging and hybrid deep networks, Springer article by Y. Ali et al., 2025.
10. N.R. Hameed Alsaedi et al., Effective breast cancer classification using deep MLP and decision tree models, Applied Sciences, 2025.
11. AI-Assisted Breast Cancer Prediction, Classification, and Detection insights from G. Nuneti et al., Open Public Health Journal, 2025
12. A Sahu et al., Recent advancements in machine learning and deep learning-based breast cancer detection systems, 2023.
13. R. Jalloul et al., A Review of Machine Learning Techniques for Breast Cancer Detection, 2023.
14. A Mashekova et al., Review of AI techniques including explainability for breast cancer diagnostics, 2025
15. K. Shams, A. Ahmed, and M. R. Islam, “Breast cancer classification using machine learning techniques: A comparative analysis, ” IEEE
Access, vol. 9, pp. 150497–150508, 2021.
16. S. Albahli and M. Nawaz, “Deep learning-based framework for breast cancer detection and classification,” Computers in Biology and
Medicine, vol. 136, 2021.
17. R. Singh and P. K. Jain, “Feature selection-based machine learning approach for breast cancer diagnosis,” Expert Systems with
Applications, vol. 186, 2022.
18. M. A. Khan et al., “Explainable artificial intelligence for breast cancer classification using machine learning models,” Scientific Reports,
vol. 13, 2023.
19. L. Zhang, Y. Li, and H. Chen, “Hybrid machine learning models for early-stage breast cancer detection,” Applied Soft Computing, vol.
139, 2024.
20. T. Rahman, S. Hasan, and N. Ahmed, “A comparative evaluation of supervised learning algorithms for breast cancer prediction,” Journal of
Healthcare Engineering, 2025.
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