An Ensemble Classification Method Based on Graph Label Propagation in Clusters

2015 ◽  
Vol 12 (9) ◽  
pp. 3455-3463 ◽  
Author(s):  
Xinyu Pan
2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jinyu Cong ◽  
Benzheng Wei ◽  
Yunlong He ◽  
Yilong Yin ◽  
Yuanjie Zheng

Breast cancer has been one of the main diseases that threatens women’s life. Early detection and diagnosis of breast cancer play an important role in reducing mortality of breast cancer. In this paper, we propose a selective ensemble method integrated with the KNN, SVM, and Naive Bayes to diagnose the breast cancer combining ultrasound images with mammography images. Our experimental results have shown that the selective classification method with an accuracy of 88.73% and sensitivity of 97.06% is efficient for breast cancer diagnosis. And indicator R presents a new way to choose the base classifier for ensemble learning.


2020 ◽  
Vol 37 (5) ◽  
pp. 482-489
Author(s):  
Pengya ZHAO ◽  
Xiangling FU ◽  
Weiqiang WU ◽  
Da LI ◽  
Songfeng GAO

2020 ◽  
Vol 29 ◽  
pp. 8177-8186
Author(s):  
Wei Ji ◽  
Xi Li ◽  
Lina Wei ◽  
Fei Wu ◽  
Yueting Zhuang

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