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Comparative study of multiclass classification methods on light microscopic images for hepatic schistosomiasis fibrosis diagnosis.

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第一作者： Amira S,Ashour

第一单位： 1Department of Electronics and Electrical Communication Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt.

作者： Amira S,Ashour ^[1] ; Ahmed Refaat,Hawas ^[1] ; Yanhui,Guo ^[2]

作者单位： 1Department of Electronics and Electrical Communication Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt. ^[1] 2Department of Computer Science, University of Illinois at Springfield, Springfield, IL USA. ^[2]

关键词 Decision tree Discriminant analysis Ensemble classifier Fibrosis Hepatic schistosomiasis Nearest neighbor Statistical features Support vector machine

DOI 10.1007/s13755-018-0047-z

PMID 30151186

发布时间 2020-09-29

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Health information science and systems

2018年6卷1期

7页

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Health information science and systems

2018年6卷1期

7页

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Comparative study of multiclass classification methods on light microscopic images for hepatic schistosomiasis fibrosis diagnosis.

Health information science and systems

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Comparative study of multiclass classification methods on light microscopic images for hepatic schistosomiasis fibrosis diagnosis.

Health information science and systems

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Health information science and systems

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