Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey
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Academy and Industry Research Collaboration Center (AIRCC)
Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Using an innovative method for breast cancer diagnosis based on Extreme Gradient Boost optimized by Simplified Memory Bounded A*;Biomedical Signal Processing and Control;2024-01
2. The Application of Machine Learning Techniques to the Diagnosis of Breast Cancer;2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP);2023-03-18
3. Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning;Cancers;2023-01-22
4. Voting Classifier on Ensemble Algorithms for Breast Cancer Prediction;2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2023-01-05
5. Automatic Scikit-learn based detection and classification of Breast Cancer using Machine./ Learning techniques;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05
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