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:
| ISBN: | 9783030338428 |
| Publication date: | 24th October 2019 |
| Author: | Florian Knoll |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 266 pages |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Genres: |
Artificial intelligence Educational equipment and technology, computer-aided learning (CAL) Computer applications in the social and behavioural sciences Computational biology / bioinformatics Computer vision Computer applications in industry and technology |
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.
Machine Learning for Medical Image Reconstruction features in the following genres: Artificial intelligence, Educational equipment and technology, computer-aided learning (CAL), Computer applications in the social and behavioural sciences, Computational biology / bioinformatics, Computer vision, Computer applications in industry and technology
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Machine Learning for Medical Image Reconstruction was written by Florian Knoll and published by Springer Nature Switzerland AG
Machine Learning for Medical Image Reconstruction has 266 pages
Yes it is part of Image Processing, Computer Vision, Pattern Recognition, and Graphics series
£40.49, reduced from £44.99. Not Available.