Marginal Space Learning For Medical Image Analysis

Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework called Marginal Space Learning which runs at a subsecond speed on a current desktop computer faster than the stateoftheart. Trained with a sufficient number of data sets Marginal Space Learning is also robust un