A Review of Machine Learning Algorithms on Different Breast Cancer Datasets
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3481-2_51
Reference62 articles.
1. Akram M, Iqbal M, Daniyal M, Khan AU (2017) Awareness and current knowledge of breast cancer. Biol Res 50(1):1–23
2. Kaur A, Kumari C, Bass S (2021) Breast cancer: the role of herbal medication. Modern Phytomorphol 15:6–75
3. Rajaguru H, Prabhakar SK (2017) Bayesian linear discriminant analysis for breast cancer classification. In: 2017 2nd international conference on communication and electronics systems (ICCES). IEEE, pp 266–269
4. Sweetlin EJ, Ponraj DN (2021) Comparative performance analysis of various classifiers on a breast cancer clinical dataset. In: Intelligence in big data technologies-beyond the hype. Springer Singapore, pp 509–516
5. Alzubaidi L, Al-Shamma O, Fadhel MA, Farhan L, Zhang J, Duan Y (2020) Optimizing the performance of breast cancer classification by employing the same domain transfer learning from hybrid deep convolutional neural network model. Electronics 9(3):445
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