Accuracy Improvement for the Diagnosis of Breast Cancer using Different Techniques of Machine Learning
Author:
Affiliation:
1. National University of Sciences and Technology (NUST),Member IEEE, Department of Electrical Power Engineering USPCAS-E,Islamabad,Pakistan
2. Comsats University Islamabad Sahiwal Campus,Department of Electrical and Computer Engineering,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9921421/9921422/09922939.pdf?arnumber=9922939
Cited by 3 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. Accurate Neoplasm Diagnosis with Comprehensive Machine Learning and Deep Learning Approaches;2024 5th International Conference for Emerging Technology (INCET);2024-05-24
2. Assessing Breast Cancer Risk with 5G-Enabled Data-Sensorized Sample using Random Forest;2023 South American Conference On Visible Light Communications (SACVLC);2023-11-08
3. Analysis of the Impacts of Consuming Red and Processed Meat on Colorectal Cancer and the role of Machine Learning in Clinical Diagnostics;2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2023-01-27
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