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Artificial Intelligence in Radiology: The Computer's Helping Hand Needs Guidance.

作者信息

Sala Evis, Ursprung Stephan

机构信息

Department of Radiology and Cancer Research UK Cambridge Centre, University of Cambridge, Box 218, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, England.

出版信息

Radiol Artif Intell. 2020 Nov 11;2(6):e200207. doi: 10.1148/ryai.2020200207. eCollection 2020 Nov.

DOI:10.1148/ryai.2020200207
PMID:33939784
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8082323/
Abstract
摘要

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Clinical applications of continual learning machine learning.持续学习机器学习的临床应用。
Lancet Digit Health. 2020 Jun;2(6):e279-e281. doi: 10.1016/S2589-7500(20)30102-3.
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On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities.论人工智能在放射学中的可解释性：挑战与机遇
Radiol Artif Intell. 2020 May 27;2(3):e190043. doi: 10.1148/ryai.2020190043.
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