1. An incremental parameter learning method for Ileo-Cecal Valve (ICV) detection in 3D computed tomography (CT) volumes, comprising: receiving at least one 3D training CT volume; training a first classifier which generates a number of ICV position box candidates for said at least one 3D training CT volume from a set of initial ICV box candidates; training a second classifier which generates a number of ICV position and scale box candidates for said at least one 3D training CT volume from said ICV position box candidates; and training a third classifier which detects a position, scale, and orientation of a 3D box bounding the ICV in said at least one 3D training volume from said ICV position and scale box candidates.