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《Journal of Data Acquisition and Processing》 2015-01
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Ultrasound Thyroid Images Classification Based on Local Texture Features

Xiong Wei;Gong Xun;Luo Jun;Li Tianrui;School of Information Science and Technology,Southwest Jiaotong University;Department of Ultrasound,Sichuan Academy of Medical Sciences,Sichuan Province People′s Hospital;  
To accomplish the automatic classification of thyroid nodules,the local texture features combining with the multiple instance learning method is proposed to overcome the overlap of the thyroid nodules.The local texture features are abstracted from the region of interest which is taken as the instance package composed of local features.The citation-kNN algorithm of the multi-instance learning(MIL)method is adopted to classify samples of this paper.Experimental results show that the identification method has higher classification accuracy and the accuracy achieves 85.59%.It is expected to be applied to the clinical diagnosis of thyroid,and provide a valuable reference for other related domains.
【Fund】: 国家自然科学基金(6117504)资助项目;; 计算智能重庆市重点实验室开放基金(CQ-LCI-2013-06)资助项目
【CateGory Index】: R581;TP391.41
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