Computerized Classification of Infant Hip Joint's State in Ultrasonography Using Texture Features

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  • テクスチャ特徴を用いた超音波画像における乳児股関節の状態分類

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Abstract

A quantitative classification method of infant hip joint's state in ultrasonography was proposed. Five texture features were calculated from the subject images. Learning and classification were conducted using support vector machine. The accuracy by leave-one-out cross validation was 79.6%.

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