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《Journal of Naval Universit of Engineering》 1992-01
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A Study of System for Automatic Recognition of Cryptococcus Neoformans

Luo Caiming Liu Xin Zhou Yan Zheng Yuechen Xie Jianmin Wei Bing  
The design principle and method of recognition system of cryptococcus neoformans is presented. It has been implemented on AST-286 and its compatible computers. Its classification rate is 98% by recognizing 768 frame samples from clinical experiment in comparison with usual training result. Its speed is increased by a factor of 500 to 1000 in comparison with usual recognition method of growing at present.
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