The Architecture of an Automatic eHealth Platform With Mobile Client for Cerebrovascular Disease Detection
BackgroundIn recent years, cerebrovascular disease has been the leading cause of death and adult disability in the world. This study describes an efficient approach to detect cerebrovascular disease. ObjectiveIn order to improve cerebrovascular treatment, prevention, and care, an automatic cerebrova...
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Main Authors: | Wang, Xingce (Author), Bie, Rongfang (Author), Sun, Yunchuan (Author), Wu, Zhongke (Author), Zhou, Mingquan (Author), Cao, Rongfei (Author), Xie, Lizhi (Author), Zhang, Dong (Author) |
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Format: | Book |
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JMIR Publications,
2013-08-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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