首页> Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society> Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD.

Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD.

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第一作者： Peng,Cao

第一单位： College of Information Science and Engineering, Northeastern University, Shenyang, China; Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China; Computing Science, University of Alberta, Edmonton, Alberta, Canada. Electronic address: pcao1@ualberta.ca.

作者： Peng,Cao ^[1] ; Jinzhu,Yang ^[2] ; Wei,Li ^[3] ; Dazhe,Zhao ^[4] ; Osmar,Zaiane ^[5]

作者单位： College of Information Science and Engineering, Northeastern University, Shenyang, China; Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China; Computing Science, University of Alberta, Edmonton, Alberta, Canada. Electronic address: pcao1@ualberta.ca. ^[1] College of Information Science and Engineering, Northeastern University, Shenyang, China. Electronic address: yangjinzhu@neusoft.com. ^[2] Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China. Electronic address: l-w@neusoft.com. ^[3] College of Information Science and Engineering, Northeastern University, Shenyang, China; Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China. Electronic address: zhaodz@neusoft.com. ^[4] Computing Science, University of Alberta, Edmonton, Alberta, Canada. Electronic address: zaiane@cs.ualberta.ca. ^[5]

关键词 Ensemble classifier False positive reduction Imbalanced data learning Lung nodule detection Random subspace method Re-sampling