Refinement of lung nodule candidates based on local geometric shape analysis and Laplacian of Gaussian kernels
A new 3D, CAD for lung nodule candidates was introduced and compared with other works. Multiscale dot enhancement filter and Laplacian of Gaussian kernels were combined. Relatively a large number of FPs was reduced before using feature based classification. The performance of the proposed method was evaluated with 42 independent images from LIDC. The scheme detects nodules with wide variations in size, shape, intensity and location.
laplacian of gaussian kernels computer-aided detection lung segmentation nodule detection shape index