UID:
almahu_9947971797402882
Format:
X, 158 p. 67 illus.
,
online resource.
ISBN:
9783030001292
Series Statement:
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11074
Content:
This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.
Note:
Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030001285
Additional Edition:
Printed edition: ISBN 9783030001308
Language:
English
DOI:
10.1007/978-3-030-00129-2
URL:
https://doi.org/10.1007/978-3-030-00129-2