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Publications (1)1.46 Total impact

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    ABSTRACT: Characterization of pulmonary nodules plays a significant role in the differential diagnosis of lung cancer. This paper presents a method to quantify surface characteristics of small pulmonary nodules with well-defined surfaces based on thin-section CT images. The segmentation of the three-dimensional (3-D) nodule images are obtained by a 3-D deformable surfaces approach. The feature extraction algorithms are designed to quantify the surface characteristic parameters from 3-D nodule images by using surface curvatures and ridge lines. Experimental results of the authors' method applied to the patients 3-D nodule images demonstrate its performance
    Nuclear Science Symposium, 1997. IEEE; 12/1997