Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

by Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang

262 pages· 2013· ISBN 9783319022673
Join Readfeed freeFind clubs reading this bookBrowse readable books
About
This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 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.

Discuss Machine Learning in Medical Imaging with other readers

Join or start a book club for Machine Learning in Medical Imaging on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Sign up freeBrowse book clubs

Frequently asked questions

How do I join a book club for Machine Learning in Medical Imaging?

Sign up free on Readfeed, then browse public clubs or start your own club with Machine Learning in Medical Imaging as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Machine Learning in Medical Imaging with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Machine Learning in Medical Imaging with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.