Description
Machine Learning for Medical Image Reconstruction, 1st ed. 2018
First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordinators: Knoll Florian, Maier Andreas, Rueckert Daniel
Language: English
Subjects for Machine Learning for Medical Image Reconstruction:
Keywords
Artificial Intelligence; Computer architecture; Computerized tomography; Image analysis; Image processing; Image quality; Image reconstruction; Image segmentation; Life and medical sciences; Machine learning; Machine learning algorithms; Machine learning theory; Medical imaging; Medical technologies; Neural networks; Reconstruction; Sensors
Publication date: 09-2018
Support: Print on demand
Support: Print on demand
Description
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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.Deep learning for magnetic resonance imaging.- Deep learning for computed tomography.- Deep learning for general image reconstruction.
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