A hybrid approach based on decision trees and clustering for breast cancer classification
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6996687/7007965/07008010.pdf?arnumber=7008010
Cited by 7 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. Machine Learning Research on Breast and Lung Cancer Detection;International Journal of Advanced Research in Science, Communication and Technology;2023-04-02
2. Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System;2020 RIVF International Conference on Computing and Communication Technologies (RIVF);2020-10
3. Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System;2020-04-17
4. Proposing an Integrated Method based on Fuzzy Tuning and ICA Techniques to Identify the Most Influencing Features in Breast Cancer;Iranian Red Crescent Medical Journal;2019-09-30
5. The Risk Assessment of Breast Tumors Based on Text Data of Ultrasound Reports;2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC);2017-12
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