Publications by authors named "Todor Sergueev Petkov"

Purpose: The authors presented a novel system for automated nodule detection in lung CT exams.

Methods: The approach is based on (1) a lung tissue segmentation preprocessing step, composed of histogram thresholding, seeded region growing, and mathematical morphology; (2) a filtering step, whose aim is the preliminary detection of candidate nodules (via 3D fast radial filtering) and estimation of their geometrical features (via scale space analysis); and (3) a false positive reduction (FPR) step, comprising a heuristic FPR, which applies thresholds based on geometrical features, and a supervised FPR, which is based on support vector machines classification, which in turn, is enhanced by a feature extraction algorithm based on maximum intensity projection processing and Zernike moments.

Results: The system was validated on 154 chest axial CT exams provided by the lung image database consortium public database.

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