Marginal Space Learning for Medical Image Analysis

“This book presents a generic learning-based method for efficient 3D object detection called marginal space learning (MSL). … Each chapter ends with a remarkable bibliography on the topics covered. This book is suited for students and researchers with interest in medical image analysis.” (Oscar Bustos, zbMATH 1362.92004, 2017)

• Introduction.- Marginal Space Learning.- Comparison of Marginal Space Learning and Full Space Learning in 2D.- Constrained Marginal Space Learning.- Part-Based Object Detection and Segmentation.- Optimal Mean Shape for Nonrigid Object Detection and Segmentation.- Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation.- Applications of Marginal Space Learning in Medical Imaging.- Conclusions and Future Work.