Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

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This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images Yaozong Gao1, 2, Li Wang1, Yeqin ... boundary is often ambiguous and hard to recognize, which leads to inconsistent manual delineations across different clinicians. ... Specifically, to automatically segment the prostate, we integrate the estimated boundary distance map into a level set formulation.

Title:Machine Learning in Medical Imaging
Author: Guorong Wu, Daoqiang Zhang, Luping Zhou
Publisher:Springer - 2014-09-05

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