1. A computer-implemented method for isolating a potential anomaly in imaging data, the computer-implemented method comprising: providing a set of at least one given anomaly property representative of a given anomaly; providing an anomaly property identifier for identifying each of the at least one given anomaly property; in the imaging data, isolating a first zone characterized by a first certain property and a group of at least one other zone, each of the at least one other zone characterized by a corresponding certain property different than the first certain property, wherein the first certain property of the first zone and the corresponding certain property of the at least one other zone characterize with unambiguity the first zone and the at least one other zone, respectively; indicating a transition zone located in the imaging data and resulting from the isolation of a first zone located in the imaging data and a group of at least one other zone located in the imaging data, wherein the at least one given anomaly property can be described as a function of the transition zone, wherein the transition zone is characterized by an uncertain property, the transition zone being selected from a group consisting of: a closed zone separating the first zone and the group of at least one other zone; and a closed zone extending in one of the first zone and the group of at least one other zone; applying the anomaly property identifier for identifying each of the at least one given anomaly property on at least the transition zone for providing a computed indication for a selected zone, the selected zone being at least the transition zone; determining if the computed indication for the selected zone is concording with each of the at least one given anomaly property; and if the computed indication for the selected zone is concording, assigning an indication of potential anomaly candidate zone to the selected zone to thereby isolate said potential anomaly.