This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions.
The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
| ISBN: | 9783030615970 |
| Publication date: | 20th October 2020 |
| Author: | Farah Deeba |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 163 pages |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Genres: |
Artificial intelligence Computer vision Computer applications in the social and behavioural sciences Educational equipment and technology, computer-aided learning (CAL) Computational biology / bioinformatics |
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually.
Machine Learning for Medical Image Reconstruction features in the following genres: Artificial intelligence, Computer vision, Computer applications in the social and behavioural sciences, Educational equipment and technology, computer-aided learning (CAL), Computational biology / bioinformatics
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Machine Learning for Medical Image Reconstruction was written by Farah Deeba and published by Springer Nature Switzerland AG
Machine Learning for Medical Image Reconstruction has 163 pages
Yes it is part of Image Processing, Computer Vision, Pattern Recognition, and Graphics series
£40.49, reduced from £44.99. Not Available.