Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing
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Title
Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing
Authors
Keywords
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Journal
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Volume -, Issue -, Pages e5252
Publisher
Wiley
Online
2019-04-02
DOI
10.1002/cpe.5252
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- (2013) Heung-Il Suk et al. Brain Structure & Function
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