7. A computer program product for automatic ground truth generation of medical image collections, the computer program product comprising: a computer readable storage medium having program code embodied therewith, the program code executable by a computer to: receive a plurality of imaging studies, wherein each imaging study comprises one or more images and a textual report associated with the one or more images; select a key image from each of the one or more images from each of the plurality of imaging studies; extract one or more discriminating image features from a region of interest within the key image; process the textual report associated with the one or more images to detect one or more concept labels; assign an initial label from the one or more concept labels to the one or more discriminating image features; and learn an association between each of the one or more discriminating image features and the one or more concept labels; wherein learning the association between each of the one or more discriminating image features and the one or more concept labels comprises executing a convex optimization learning algorithm.
7. A computer program product for automatic ground truth generation of medical image collections, the computer program product comprising: a computer readable storage medium having program code embodied therewith, the program code executable by a computer to: receive a plurality of imaging studies, wherein each imaging study comprises one or more images and a textual report associated with the one or more images; select a key image from each of the one or more images from each of the plurality of imaging studies; extract one or more discriminating image features from a region of interest within the key image; process the textual report associated with the one or more images to detect one or more concept labels; assign an initial label from the one or more concept labels to the one or more discriminating image features; and learn an association between each of the one or more discriminating image features and the one or more concept labels; wherein learning the association between each of the one or more discriminating image features and the one or more concept labels comprises executing a convex optimization learning algorithm. 10. The computer program product of claim 7 , wherein processing the textual report associated with the one or more images to detect the one or more concept labels comprises executing a longest common subfix algorithm on the textual report.