Abdollahi J, Davari N, Panahi Y, Gardaneh M et al. Detection of metastatic breast cancer from whole-slide pathology images using an ensemble deep-learning method: detection of breast cancer using deep-learning. Arch Breast Cancer. 2022;364–76.
Ahmed MR, Ali MA, Roy J, Ahmed S, Ahmed N. Breast cancer risk prediction based on six machine learning algorithms. In: 2020 IEEE Asia-pacific conference on computer science and data engineering (CSDE). IEEE; 2020. pp 1–5.
Al-Fahaidy FAK, Al-Fuhaidi B, AL-Darouby I, AL-Abady F, AL-Qadry M, AL-Gamal A. A diagnostic model of breast cancer based on digital mammogram images using machine learning techniques. Appl Comput Intell Soft Comput. 2022.
Alzu’bi A, Najadat H, Doulat W, Al-Shari O, Zhou L. Predicting the recurrence of breast cancer using machine learning algorithms. Multimed Tools Appl. 2021;80:13787–800.
Ara S, Das A, Dey A. Malignant and benign breast cancer classification using machine learning algorithms. In: 2021 International conference on artificial intelligence (ICAI). IEEE; 2021. pp. 97–101.
Basunia MR, Pervin IA, Mahmud MA, Saha S, Arifuzzaman M. On predicting and analyzing breast cancer using data mining approach. In: 2020 IEEE Region 10 Symposium. IEEE; 2020. pp. 1257–1260.
Bayrak EA, Kırcı P, Ensari T. Comparison of machine learning methods for breast cancer diagnosis. In: 2019 Scientific meeting on electrical-electronics & biomedical engineering and computer science (EBBT). IEEE; 2019. pp. 1–3.
Beňačka R, Szabóová D, Gul’ašová Z, Hertelyová Z, Radoňák J. Classic and new markers in diagnostics and classification of breast cancer. Cancers. 2022;14(21):5444.
Binsaif N. Application of machine learning models to the detection of breast cancer. Mob Inf Syst. 2022;2022.
Botlagunta M, Botlagunta MD, Myneni MB, Lakshmi D, Nayyar A, Gullapalli JS, Shah MA. Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms. Sci Rep. 2023;13(1):485.
Elsadig MA, Altigani A, Elshoush HT. Breast cancer detection using machine learning approaches: a comparative study. Int J Electr Comput Eng (2088-8708). 2023;13(1).
Fatima N, Liu L, Hong S, Ahmed H. Prediction of breast cancer, comparative review of machine learning techniques, and their analysis. IEEE Access. 2020;8:150360–76.
Ganggayah MD, Taib NA, Har YC, Lio P, Dhillon SK. Predicting factors for survival of breast cancer patients using machine learning techniques. BMC Med Inform Decis Mak. 2019;19:1–17.
Gupta M, Gupta B. An ensemble model for breast cancer prediction using sequential least squares programming method (slsqp). In: 2018 eleventh international conference on contemporary computing (IC3). IEEE; 2018. pp. 1–3.
Hendriks S, Peetoom K, Bakker C, Koopmans R, van der Flier W, Papma J, Verhey F, Young-Onset Dementia Epidemiology Study Group, de Vugt M, Köhler S. Global incidence of young-onset dementia: a systematic review and meta-analysis. Alzheimers Dement. 2023;19(3):831–43.
Islam MM, Haque MR, Iqbal H, Hasan MM, Hasan M, Kabir MN. Breast cancer prediction: a comparative study using machine learning techniques. SN Comput Sci. 2020;1:1–14.
Jasti VDP, Zamani AS, Arumugam K, Naved M, Pallathadka H, Sammy F, Raghuvanshi A, Kaliyaperumal K. Computational technique based on machine learning and image processing for medical image analysis of breast cancer diagnosis. Secur Commun Netw. 2022;1–7:2022.
Jia X, Sun X, Zhang X et al. Breast cancer identification using machine learning. Math Probl Eng. 2022;2022.
Kabiraj S, Raihan M, Alvi N, Afrin M, Akter L, Sohagi SA, Podder E. Breast cancer risk prediction using xgboost and random forest algorithm. In: 2020 11th international conference on computing, communication and networking technologies (ICCCNT). IEEE; 2020. pp. 1–4.
Kaveh S, Arezi E, Khedri Z, Sohrabei S. Investigating the application of quantum machine learning in breast cancer: a systematic review: quantum machine learning in bc. Arch Breast Cancer. 2025;12(2):130–42.
Maabreh RSA, Alazzam MB, AlGhamdi AS et al. Machine learning algorithms for prediction of survival curves in breast cancer patients. Appl Bionics Biomech. 2021;2021.
Maqsood S, Damaševičius R, Maskeliūnas R. Ttcnn: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages. Appl Sci. 2022;12(7):3273.
Merouane E, Said A et al. Prediction of metastatic relapse in breast cancer using machine learning classifiers. Int J Adv Comput Sci Appl. 2022;13(2).
Ming C, Viassolo V, Probst-Hensch N, Chappuis PO, Dinov ID, Katapodi MC. Machine learning techniques for personalized breast cancer risk prediction: comparison with the bcrat and boadicea models. Breast Cancer Res. 2019;21(1):1–11.
Naji MA, El Filali S, Aarika K, Benlahmar EH, Abdelouhahid RA, Debauche O. Machine learning algorithms for breast cancer prediction and diagnosis. Procedia Comput Sci. 2021;191:487–92.
Nemade V, Pathak S, Dubey AK, Barhate D. A review and computational analysis of breast cancer using different machine learning techniques. Int J Emerg Technol Adv Eng. 2022;12(3):111–8.
Rajasekaran G, Shanmugapriya P. Hybrid deep learning and optimization algorithm for breast cancer prediction using data mining. Int J Intell Syst Appl Eng. 2023;11(1s):14–22.
Sengar PP, Gaikwad MJ, Nagdive AS. Comparative study of machine learning algorithms for breast cancer prediction. In: 2020 Third international conference on smart systems and inventive technology (ICSSIT). IEEE; 2020. pp. 796–801.
Shaikh FJ, Rao DS. Prediction of cancer disease using machine learning approach. Mater Today Proc. 2022;50:40–7.
Sharma A, Mishra PK. Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis. Int J Inf Technol. 2021;1–12.
Sharma S, Aggarwal A, Choudhury T. Breast cancer detection using machine learning algorithms. In: 2018 International conference on computational techniques, electronics and mechanical systems (CTEMS). IEEE; 2018. pp. 114–118.
Shen L, Margolies LR, Rothstein JH, Fluder E, McBride R, Sieh W. Deep learning to improve breast cancer detection on screening mammography. Sci Rep. 2019;9(1):12495.
Telsang VA, Hegde K. Breast cancer prediction analysis using machine learning algorithms. In: 2020 International Conference on Communication, Computing and Industry 4.0 (C2I4). IEEE; 2020. pp. 1–5.
Turkki R, Byckhov D, Lundin M, Isola J, Nordling S, Kovanen PE, Verrill C, von Smitten K, Joensuu H, Lundin J, et al. Breast cancer outcome prediction with tumour tissue images and machine learning. Breast Cancer Res Treat. 2019;177:41–52.
Verma SK, Arora D, Bhardwaj R. Breast cancer survival rate prediction in mammograms using machine learning. In: 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE; 2020. pp. 169–171.
Wang L. Mammography with deep learning for breast cancer detection. Front Oncol. 2024;14:1281922.
Wu J, Hicks C. Breast cancer type classification using machine learning. J Pers Med. 2021;11(2):61.
Yarabarla MS, Ravi LK, Sivasangari A. Breast cancer prediction via machine learning. In: 2019 3rd international conference on trends in electronics and informatics (ICOEI). IEEE; 2019. pp. 121–124.
Comments (0)