5. An apparatus for Ileo-Cecal Valve (ICV) detection in an input 3D computed tomography (CT) volume, comprising: means for detecting initial box candidates for the ICV based on an ICV orifice in said input 3D CT volume; and means for detecting a box bounding the ICV in said 3D CT volume by sequentially detecting possible locations, scales, and orientations of the box bounding the ICV using incremental parameter learning based on said initial box candidates.
5. An apparatus for Ileo-Cecal Valve (ICV) detection in an input 3D computed tomography (CT) volume, comprising: means for detecting initial box candidates for the ICV based on an ICV orifice in said input 3D CT volume; and means for detecting a box bounding the ICV in said 3D CT volume by sequentially detecting possible locations, scales, and orientations of the box bounding the ICV using incremental parameter learning based on said initial box candidates. 7. The apparatus of claim 5 , wherein said means for detecting a box bounding the ICV in said 3D CT volume comprises: means for generating a plurality of first testing boxes by shifting a center location of each of said initial box candidates; means for detecting a number of said first testing boxes as ICV position box candidates using a first trained classifier; means for generating a plurality of second testing boxes by varying a scale of each of said ICV position box candidates; means for detecting a number of said second testing boxes as ICV position and scale box candidates using a second trained classifier; means for generating a plurality of third testing boxes by adding disturbances to an orientation of each of said ICV position and scale box candidates; and means for detecting one of said third testing boxes as the box bounding the ICV in said 3D CT volume.