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- W2365853320 abstract "Objective To provide a computer-aided method for the diagnosis of breast tumor by B-mode ultrasonic imaging.Methods The shape,margin,and intensity features including Fourier descriptor,roughness,and ratio of mean intensity were calculated from B-mode ultrasonic benign tumor and malignant tumor images.Feature vectors which indicated two classes of images were created with the three features.Then we used k-means clustering algorithm to classify vectors.Results The accuracy rates of k-means clustering algorithm were 89.85% for benign and 78.26% for malignance.Conclusion This technology could indicate the characteristics of B-mode images of benign tumor and malignant tumor more accurately than eyes did.It could greatly improve the diagnostic accuracy of breast tumor." @default.
- W2365853320 created "2016-06-24" @default.
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- W2365853320 date "2005-01-01" @default.
- W2365853320 modified "2023-09-25" @default.
- W2365853320 title "Breast tumor image recognition of B-mode ultrasonography based on shape and gray feature analysis" @default.
- W2365853320 hasPublicationYear "2005" @default.
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