A computer-implemented method of automatically propagating segmentation in a medical image, the method comprising: determining one or more segmentation parameters based on analysis of a segmented reference Region of Interest (RoI) in a reference image, wherein determining the one or more segmentation parameters comprises determining the one or more morphological characteristics of the segmented reference RoI, and wherein determining the one or more morphological characteristics of the segmented reference RoI comprises determining a short axis and a longest diameter of the segmented reference RoI; determining a plurality of reference points corresponding to the segmented reference RoI based on the one or more morphological characteristics of the segmented reference RoI; generating a plurality of translated points on a current image, in which a target RoI has to be segmented, by translating each of the plurality of reference points onto the current image; automatically selecting relevant seeds in the current image, from the plurality of translated points, based on the one or more segmentation parameters, wherein the selection comprises selecting one or more translated points from the plurality of translated points if an intensity of the one or more translated points falls within the intensity distribution of the segmented reference RoI; and performing a multi-seed segmentation of the selected relevant seeds for estimating and segmenting the target RoI in the current image, wherein the target RoI is the propagated segmentation of the segmented RoI in the reference image and wherein pixel intensities of the current image are quantitatively comparable or can be normalized to pixel intensities of the reference image. determining one or more segmentation parameters based on analysis of a segmented reference Region of Interest (RoI) in a reference image, wherein determining the one or more segmentation parameters comprises determining the one or more morphological characteristics of the segmented reference RoI, and wherein determining the one or more morphological characteristics of the segmented reference RoI comprises determining a short axis and a longest diameter of the segmented reference RoI; determining a plurality of reference points corresponding to the segmented reference RoI based on the one or more morphological characteristics of the segmented reference RoI; generating a plurality of translated points on a current image, in which a target RoI has to be segmented, by translating each of the plurality of reference points onto the current image; automatically selecting relevant seeds in the current image, from the plurality of translated points, based on the one or more segmentation parameters, wherein the selection comprises selecting one or more translated points from the plurality of translated points if an intensity of the one or more translated points falls within the intensity distribution of the segmented reference RoI; and performing a multi-seed segmentation of the selected relevant seeds for estimating and segmenting the target RoI in the current image, wherein the target RoI is the propagated segmentation of the segmented RoI in the reference image and wherein pixel intensities of the current image are quantitatively comparable or can be normalized to pixel intensities of the reference image.