An embodiment method for identifying anomalies in an object includes detecting bulges in a 2D image of the object, detecting 2D convergences in the 2D image of the object, detecting 3D convergences in each of a plurality of tomography slices of the object, and removing convergence overlap from overlapping 2D convergences to generate non-overlapping 2D convergences. For each non-overlapping 2D convergence, the method includes determining whether there is a matching 3D convergence in each slice of the plurality of tomography slices. Then for each matching 3D convergence for each non-overlapping 2D convergence, the method includes determining feature values of features of the matching 3D convergence. The method includes generating mass composite signatures in accordance with the detected bulges, the detected 2D convergences, and the feature values of the matching 3D convergences, and generating marks indicating the anomalies on the 2D image.
