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Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction

Authors
Publisher Springer Nature
Year 24/10/2019
Version eBook: Reflowable eTextbook (ePub)
Language English
ISBN 9783030338435
Categories Educational equipment & technology, computer-aided learning (CAL), Medicine, Computing & information technology, Graphics programming, Computer science, Artificial intelligence
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Book description

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 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.

Machine Learning for Medical Image Reconstruction

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