Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2020 Mar/Apr;44(2):161-167.
doi: 10.1097/RCT.0000000000000928.

Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality

Yuko Nakamura  1 , Toru Higaki, Fuminari Tatsugami, Yukiko Honda, Keigo Narita, Motonori Akagi, Kazuo Awai
Affiliations
Review

Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality

Yuko Nakamura et al. J Comput Assist Tomogr. 2020 Mar/Apr.

Abstract

Deep learning (DL), part of a broader family of machine learning methods, is based on learning data representations rather than task-specific algorithms. Deep learning can be used to improve the image quality of clinical scans with image noise reduction. We review the ability of DL to reduce the image noise, present the advantages and disadvantages of computed tomography image reconstruction, and examine the potential value of new DL-based computed tomography image reconstruction.

PubMed Disclaimer

References

    1. Chung JS, Senior AW, Vinyals O, et al. Lip reading sentences in the wild. CVPR. 2017;3444–3453.
    1. Taigman Y, Yang M, Ranzato M, et al. Deepface: closing the gap to human-level performance in face verification. Proc IEEE Conf Comput Vis Pattern Recognit. 2014;1701–1708.
    1. Lee JG, Jun S, Cho YW, et al. Deep learning in medical imaging: general overview. Korean J Radiol. 2017;18:570–584.
    1. Shen D, Wu G, Suk HI. Deep learning in medical image analysis. Annu Rev Biomed Eng. 2017;19:221–248.
    1. Giger ML. Machine learning in medical imaging. J Am Coll Radiol. 2018;15(3 pt B):512–520.

MeSH terms