A method for detecting an object within a structure includes performing tobogganing on image data to obtain one or more voxel clusters and to provide a rough indication of the structure. Each of the obtained voxel clusters is characterized as an object candidate and a set of features are determined for each object candidate. Correlations between pairs of the object candidates are measured. Each of the object candidates is classified as either a true object or a non-object based on the set of features and the measured correlations.
Method of multiple instance learning and classification with correlations in object detection