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- W2357430907 abstract "Concerning the limitation of using single CT image to detect the lung nodule, short image series consisting of a few sequential CT image was used in nodule's auto-detection in this paper. Meanwhile, the image corresponding to the Region of Interest (ROI) was taken as a surface of some 2-d function. Then the new features, different from traditional image region features, were extracted, which depicted the surface's shape and its variances in short image series. At last, the effectiveness of the extracted features is proved by using the Support Vector Machine (SVM)." @default.
- W2357430907 created "2016-06-24" @default.
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- W2357430907 date "2010-01-01" @default.
- W2357430907 modified "2023-09-26" @default.
- W2357430907 title "Pulmonary nodule feature extraction based on short CT image series" @default.
- W2357430907 hasPublicationYear "2010" @default.
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