Myocardial contours were extracted using a new interactive, semi-automated method based on the active contour model method.

A fully automatic segmentation method based on active contour model algorithms for defining vessel boundaries has been developed.

A method is presented for tracking object boundaries in sequential images using an active contour model, based on fuzzy reasoning rule-based control.

A modified definition for the active contour model is introduced to reduce the influence of missing or spurious edge information of the vessel wall.

We developed and validated an automated technique for CSF segmentation via integration of random forest (RF) based machine learning with geodesic active contour (GAC) segmentation.