Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns

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ObjectiveThis paper proposes a novel approach for thyroid ultrasound pattern representation. Considering that texture and echogenicity are correlated with thyroid malignancy, the proposed approach encodes these sonographic features via a noise-resistant representation. This representation is suitable for the discrimination of nodules of high malignancy risk from normal thyroid parenchyma.

论文关键词:Fuzzy feature extraction,Support vector classification,Ultrasound imaging,Thyroid nodules

论文评审过程:Received 24 September 2008, Revised 21 September 2009, Accepted 29 March 2010, Available online 27 April 2010.

论文官网地址:https://doi.org/10.1016/j.artmed.2010.04.004