Abstract: One embodiment of the invention provides a computer-implemented method of annotating images in a data set comprising a first set of images which initially have annotations and a second set of images which initially do not have annotations. The method comprises the steps of determining spatial correspondences for all pairs of images in the data set, wherein each spatial correspondence represents a mapping of a location in a first image to a corresponding location in a second image. For each mapping, the method further comprises calculating a connection strength between the location in the first image and the corresponding location in the second image.

Abstract: The present invention provides, among other things, methods of processing medical images for producing images with labeled anatomical features, including obtaining images containing labeled anatomical features, obtaining unlabelled images, comparing and selecting unlabelled images that most closely resemble labeled images, and propagating label data from labeled images to unlabelled images, thereby labeling corresponding anatomical features on unlabelled images. The present invention also provides systems for performing such methods.

Abstract: One embodiment of the invention provides a computer-implemented method of annotating images in a data set comprising a first set of images which initially have annotations and a second set of images which initially do not have annotations. The method comprises the steps of determining spatial correspondences for all pairs of images in the data set, wherein each spatial correspondence represents a mapping of a location in a first image to a corresponding location in a second image. For each mapping, the method further comprises calculating a connection strength between the location in the first image and the corresponding location in the second image.