A new approach to quantify the lung nodule speculation levels in CT (computed tomography) images was proposed. Firstly, two-dimensional image of nodule was generated by using the spiral scan technology. Secondly, the lung nodule was segmented in the two-dimensional image using the dynamic programming. Thirdly, based on the expanded regions from the segmented boundary, the speculation was segmented by use of threshold segmentation. Fourthly, the feature region where speculation may exist was extr
