Machine Learning for Medical Image Reconstruction
English, Paperback, Andreas Maier, Daniel Rueckert, Florian KnollMore than 10 items ordered
Product details
The book "Machine Learning for Medical Image Reconstruction" offers a comprehensive collection of research papers presented at the first international workshop on this topic in 2018. The event took place as part of MICCAI 2018 in Granada, Spain, and brought together experts in the field of medical imaging. This volume includes 17 selected and peer-reviewed contributions that address innovative approaches to machine learning aimed at improving image reconstruction in medical imaging. The topics covered include, among others, the use of deep learning in magnetic resonance imaging (MRI), computed tomography (CT), and general image reconstruction methods. The careful selection of contributions ensures that readers have access to the latest developments and techniques in this dynamic research field.
topic | Technology & IT |
Subtopic | Mechanical engineering |
Language | English |
Author | Andreas Maier, Daniel Rueckert, Florian Knoll |
Year | 2018 |
Number of pages | 158 |
Book cover | Paperback |
Item number | 56002073 |
Publisher | Springer |
Category | Reference books |
Release date | 11.3.2025 |
topic | Technology & IT |
Subtopic | Mechanical engineering |
Language | English |
Author | Andreas Maier, Daniel Rueckert, Florian Knoll |
Year | 2018 |
Number of pages | 158 |
Edition | 1 |
Book cover | Paperback |
CO₂ emissions | 0.38 kg |
Climate contribution | CHF 0.11 |
Height | 235 mm |
Width | 155 mm |
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