Machine Learning for Medical Image Reconstruction
| Author | : Farah Deeba |
| Publisher | : Springer Nature |
| Total Pages | : 170 |
| Release | : 2020-10-21 |
| ISBN-10 | : 9783030615987 |
| ISBN-13 | : 3030615987 |
| Rating | : 4/5 (987 Downloads) |
Book Synopsis Machine Learning for Medical Image Reconstruction by : Farah Deeba
Download or read book Machine Learning for Medical Image Reconstruction written by Farah Deeba and published by Springer Nature. This book was released on 2020-10-21 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
