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MORE ABOUT THIS BOOK
Main description:
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.
Contents:
Deep learning for magnetic resonance imaging.- Deep learning for computed tomography.- Deep learning for general image reconstruction.
PRODUCT DETAILS
Publisher: Springer (Springer Nature Switzerland AG)
Publication date: September, 2018
Pages: 158
Weight: 454g
Availability: Available
Subcategories: Radiology