1. A method for identifying a region of interest within a time sequence of images, comprising: acquiring a time sequence of images comprising a plurality of image frames; performing image segmentation to segment a first region of interest (ROI) and a second ROI from within each of the plurality of image frames of the time sequence of images; receiving one or more manual edits to the first ROI within a first keyframe for the first ROI of the plurality of image frames; receiving one or more manual edits to the ROI within a second keyframe for the first ROI of the plurality of image frames; receiving one or more manual edits to the second ROI within a first keyframe for the second ROI of the plurality of image frames; receiving one or more manual edits to the second ROI within a second keyframe for the second ROI of the plurality of image frames; propagating the manual edits corresponding to the first ROI to other image frames of the plurality of images, the other image frames being those image frames of the plurality of image frames that are neither the first keyframe for the first ROI nor the second keyframe for the first ROI; and propagating the manual edits corresponding to the second ROI to other image frames of the plurality of images, the other image frames being those image frames of the plurality of image frames that are neither the first keyframe for the second ROI nor the second keyframe for the first ROI, wherein an extent to which each of the manual edits for the first and second ROI are propagated to other image frames is dependent upon a distance in time between each of the other image frames and the first and second keyframes that have been manually edited for the first ROI, respectively, and wherein the first keyframe for the first ROI, the second keyframe for the first ROI, the first keyframe for the second ROI, and the second keyframe for the second ROI are all different frames of the plurality of image frames.