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The classification of meningioma subtypes based on the color segmentation and shape features
Zeng ZM(曾子铭); Tong, Zeng; Han ZH(韩忠华); Zhang YL(张吟龙); Zwiggelaar, Reyer
Department工业控制网络与系统研究室
Conference Name5th International Symposium on IT in Medicine and Education, ITME 2013
Conference DateJuly 19-21, 2013
Conference PlaceXining, China
Source PublicationLecture Notes in Electrical Engineering
PublisherSpringer Verlag
Publication PlaceHeidelberg, Germany
2013
Pages2669-2674
Indexed ByEI
EI Accession number20140917403562
Contribution Rank4
ISSN1876-1100
ISBN978-94-007-7618-0
KeywordClassification (Of Information) Image Segmentation Information Technology
AbstractThis paper proposed an automatic method for the classification of meningioma subtypes based on the unsupervised color segmentation method and feature selection scheme. Firstly, a color segmentation method is utilized to segment the cell nuclei. Then the set of shape feature vectors which are calculated from the segmentation results are constructed. Finally, a k-nearest neighbour classifier (kNN) is used to classify the meningioma subtypes. Experiment shows that the classification accuracy of 85 % is achieved by using a leave-one-out cross validation approach on 80 meningioma images.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/14583
Collection工业控制网络与系统研究室
Recommended Citation
GB/T 7714
Zeng ZM,Tong, Zeng,Han ZH,et al. The classification of meningioma subtypes based on the color segmentation and shape features[C]. Heidelberg, Germany:Springer Verlag,2013:2669-2674.
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