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Automated Pulmonary Lung Nodule Detection using an Optimal Manifold Statistical Based Feature Descriptor and SVM Classifier

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Figure

Table 1: Summary of quantitative evaluation oflung
Fig. 2: (a) Original CT slice and tissues
Fig.3: Extreme points (A: PxYC:PPYx, B:PYXPXY, P, and D:PP ) of image convex hull
Fig. 5: The results of 2D and 3D: (a) The original CT image with ground truth marks, (b) ROIs results of nodule candidate detection
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