Organ detection in medical images with discriminately trained deformable part model

Automatic organ segmentation on a full-body scan image is a challenging task as most of the organ segmentation methods require a prior knowledge about the position of the given organ within the image. In this paper we show, how discriminately trained deformable part model can be used to acquire this prior knowledge by constructing a multi-organ detection system based on it.