This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a

Presents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object

This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomi

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer