A Classifier Ensemble Based on Performance Level Estimation

In this paper, we introduce a new classifier ensemble approach, applied to tissue segmentation in optical images of the uterine cervix. Ensemble methods combine the predictions of a set of diverse classifiers. The main contribution of our approach is an effective way of combination based on each classifier’s performance level—namely, the sensitivity

• Type: Conference
• Year: 2009
• Where: ISBI
• Authors: Wei Wang, Yaoyao Zhu, Xiaolei Huang, Daniel P. Lopresti, Zhiyun Xue, L. Rodney Long, Sameer Antani, George R. Thoma
• Keywords: Classifier Ensemble Approach, Ensemble Methods, ISBI 2009, Medical Imaging, STAPLE Algorithm