Deep learning for tomographic image reconstruction
Deep-learning-based tomographic imaging is an important application of artificial
intelligence and a new frontier of machine learning. Deep learning has been widely used in …
intelligence and a new frontier of machine learning. Deep learning has been widely used in …
A perspective on deep imaging
G Wang - IEEE access, 2016 - ieeexplore.ieee.org
The combination of tomographic imaging and deep learning, or machine learning in
general, promises to empower not only image analysis but also image reconstruction. The …
general, promises to empower not only image analysis but also image reconstruction. The …
Image reconstruction is a new frontier of machine learning
Over past several years, machine learning, or more generally artificial intelligence, has
generated overwhelming research interest and attracted unprecedented public attention. As …
generated overwhelming research interest and attracted unprecedented public attention. As …
[图书][B] Machine learning for tomographic imaging
The area of machine learning, especially deep learning, has exploded in recent years,
producing advances in everything from speech recognition and gaming to drug discovery …
producing advances in everything from speech recognition and gaming to drug discovery …
Deep learning‐based image reconstruction for different medical imaging modalities
Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT)
is a mathematical process that generates images at many different angles around the …
is a mathematical process that generates images at many different angles around the …
Deep learning for biomedical image reconstruction: A survey
Medical imaging is an invaluable resource in medicine as it enables to peer inside the
human body and provides scientists and physicians with a wealth of information …
human body and provides scientists and physicians with a wealth of information …
[HTML][HTML] Improving tomographic reconstruction from limited data using mixed-scale dense convolutional neural networks
DM Pelt, KJ Batenburg, JA Sethian - Journal of Imaging, 2018 - mdpi.com
In many applications of tomography, the acquired data are limited in one or more ways due
to unavoidable experimental constraints. In such cases, popular direct reconstruction …
to unavoidable experimental constraints. In such cases, popular direct reconstruction …
[HTML][HTML] An overview of deep learning in medical imaging
A Anaya-Isaza, L Mera-Jiménez… - Informatics in medicine …, 2021 - Elsevier
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …
growth in recent years. The scientific community has focused its attention on DL due to its …
Going deep in medical image analysis: concepts, methods, challenges, and future directions
Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …
technology has recently attracted so much interest of the Medical Imaging Community that it …
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …
and has achieved remarkable success in many medical imaging applications, thereby …