 Connection
Zhiqiang Qin to Drowning
This is a "connection" page, showing publications Zhiqiang Qin has written about Drowning.
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Connection Strength |
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0.544 |
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Zhang J, Vieira DN, Cheng Q, Zhu Y, Deng K, Zhang J, Qin Z, Sun Q, Zhang T, Ma K, Zhang X, Huang P. DiatomNet v1.0: A novel approach for automatic diatom testing for drowning diagnosis in forensically biomedical application. Comput Methods Programs Biomed. 2023 Apr; 232:107434.
Score: 0.206
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Zhang J, Zhou Y, Vieira DN, Cao Y, Deng K, Cheng Q, Zhu Y, Zhang J, Qin Z, Ma K, Chen Y, Huang P. An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm. Int J Legal Med. 2021 May; 135(3):817-827.
Score: 0.178
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Zhou Y, Zhang J, Huang J, Deng K, Zhang J, Qin Z, Wang Z, Zhang X, Tuo Y, Chen L, Chen Y, Huang P. Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm. Forensic Sci Int. 2019 Sep; 302:109922.
Score: 0.161
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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