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Editorial
. 2021 Jan;40(1):3-6.
doi: 10.14366/usg.20078. Epub 2020 Nov 3.

Artificial intelligence for ultrasonography: unique opportunities and challenges

Affiliations
Editorial

Artificial intelligence for ultrasonography: unique opportunities and challenges

Seong Ho Park. Ultrasonography. 2021 Jan.
No abstract available

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Conflict of interest statement

No potential conflict of interest relevant to this article was reported.

References

    1. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25:44–56. - PubMed
    1. Soffer S, Ben-Cohen A, Shimon O, Amitai MM, Greenspan H, Klang E. Convolutional neural networks for radiologic images: a radiologist's guide. Radiology. 2019;290:590–606. - PubMed
    1. Do S, Song KD, Chung JW. Basics of deep learning: a radiologist's guide to understanding published radiology articles on deep learning. Korean J Radiol. 2020;21:33–41. - PMC - PubMed
    1. Lee JG, Jun S, Cho YW, Lee H, Kim GB, Seo JB, et al. Deep learning in medical imaging: general overview. Korean J Radiol. 2017;18:570–584. - PMC - PubMed
    1. Ha EJ, Baek JH. Application of machine learning and deep learning to thyroid imaging: where do we stand? Ultrasonography. 2021;40:23–29. - PMC - PubMed

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