Computer-implemented method for automated segmentation of anatomical structures of a biological object, the method comprising: - acquiring an MRI image of said object, wherein said MRI image is constructed from a set of D slices s_i; - dividing the set of D slices s_i into overlapping groups G_j of N consecutive slices; - feeding each of the overlapping groups of N consecutive slices as input into a neural network configured for outputting, for each inputted group, N maps, wherein for each slice of the inputted group there is one map outputted by the neural network; - for each slice belonging to several overlapping groups, determining for each of its voxel a final label when considering the maps outputted for the considered slice; - for each slice belonging to several overlapping groups, assigning to each of its voxel the final label that has been previously determined for the considered voxel and outputting a final segmentation map that is a map of the final labels assigned to the voxels of the considered slice; - creating a final segmented image of said object from the previously obtained final segmentation maps; characterized in that - said MRI image is a temporal evolution of a thin or thick section of said object and each slice is an image of said thin or thick section taken at a different time; - the outputted maps are labeled maps, wherein each voxel of the labeled map has been labeled according to a specific label determined by the neural network on the basis of the inputted slices; and - the final label is determined from the specific labels assigned to said voxel by the neural network when considering the labeled maps outputted for the considered slice. - acquiring an MRI image of said object, wherein said MRI image is constructed from a set of D slices s_i; - dividing the set of D slices s_i into overlapping groups G_j of N consecutive slices; - feeding each of the overlapping groups of N consecutive slices as input into a neural network configured for outputting, for each inputted group, N maps, wherein for each slice of the inputted group there is one map outputted by the neural network; - for each slice belonging to several overlapping groups, determining for each of its voxel a final label when considering the maps outputted for the considered slice; - for each slice belonging to several overlapping groups, assigning to each of its voxel the final label that has been previously determined for the considered voxel and outputting a final segmentation map that is a map of the final labels assigned to the voxels of the considered slice; - creating a final segmented image of said object from the previously obtained final segmentation maps; - said MRI image is a temporal evolution of a thin or thick section of said object and each slice is an image of said thin or thick section taken at a different time; - the outputted maps are labeled maps, wherein each voxel of the labeled map has been labeled according to a specific label determined by the neural network on the basis of the inputted slices; and - the final label is determined from the specific labels assigned to said voxel by the neural network when considering the labeled maps outputted for the considered slice.