A Perspective on Deep Imaging

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 latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image re...

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Bibliographic Details
Published in:IEEE access 2016, Vol.4, p.8914-8924
Main Author: Wang, Ge
Format: Article
Language:English
Subjects:
big data
Data acquisition
Deep learning
Image analysis
Image processing
Image reconstruction
Machine learning
Medical imaging
Tomographic imaging
Tomography
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Summary: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 latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques. This direction might lead to intelligent utilization of domain knowledge from big data, innovative approaches for image reconstruction, and superior performance in clinical and preclinical applications. To realize the full impact of machine learning for tomographic imaging, major theoretical, technical and translational efforts are immediately needed.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2016.2624938