Paper Info
Title
Deep Learning Models For Diagnosing Spleen And Stomach Diseases In Smart Chinese Medicine With Cloud Computing
Abstract
Cloud computing is significantly contributing to the development of smart Chinese medicine. The diagnosis and treatment of spleen and stomach diseases has been arousing great interest in smart Chinese medicine with cloud computing since many persons are suffering from spleen and stomach diseases. Currently, spleen and stomach diseases present some new characteristics with the dramatic changes in natural climate, social environment, and human living habits. Recently, deep learning, together with cloud computing techniques, has successfully used in medical image analysis and therefore it is the most promising model for diagnosing spleen and stomach disease in smart Chinese medicine. In this paper, we present a survey on deep learning models in medical image analysis for computer-aided diagnosis in modern medicine. Afterwards, we summarize the syndrome types of spleen and stomach diseases and furthermore analyze the causes and pathogenesis for each syndrome. Finally, we discuss the open challenges and research directions of deep learning models applicable to the computer-aided diagnosis of spleen and stomach diseases, which is expected to contribute to the development of smart Chinese medicine with cloud computing.
Year
DOI
Venue
2021
10.1002/cpe.5252
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
cloud computing, deep learning, smart Chinese medicine, spleen and stomach
Journal
33
Issue
ISSN
Citations 
7
1532-0626
4
PageRank 
References 
Authors
0.42
0
7
Name
Order
Citations
PageRank
Qingchen Zhang140.76
Changchuan Bai282.19
Zhikui Chen369266.76
P. Li421428.84
Hang Yu5133.62
Shuo Wang640.42
He Gao750.77