Evaluation of Inspection Efficiency of Diatom Artificial Intelligence Search System Based on Scanning Electron Microscope.

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Title: Evaluation of Inspection Efficiency of Diatom Artificial Intelligence Search System Based on Scanning Electron Microscope.
Authors: Yu DY; Department of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.; Qingyuan Public Security Bureau, Qingyuan 511500, Guangdong Province, China., Liu JJ; Department of Forensic Medicine, Kunming Medical University, Kunming 650500, China., Liu C; Guangzhou Forensic Science Institute & Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangzhou 510442, China., DU YK; Department of Forensic Medicine, Southern Medical University, Guangzhou 510515, China., Huang P; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China., Zhang J; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China., Yu WM; Jiangsu JITRI Sioux Technologies Co., Ltd., Suzhou 215100, Jiangsu Province, China., Hu YC; Suzhou LabWorld Scientific Technology Ltd., Suzhou 215100, Jiangsu Province, China., Zhao J; Department of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.; Guangzhou Forensic Science Institute & Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangzhou 510442, China., Cheng JD; Department of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Source: Fa yi xue za zhi [Fa Yi Xue Za Zhi] 2022 Feb 25; Vol. 38 (1), pp. 40-45.
Publication Type: Journal Article
Journal Info: Publisher: Si fa bu si fa jian ding ke xue yan jiu yuan Country of Publication: China NLM ID: 9426151 Publication Model: Print Cited Medium: Internet ISSN: 1004-5619 (Print) Linking ISSN: 10045619 NLM ISO Abbreviation: Fa Yi Xue Za Zhi Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1004-5619
DOI:10.12116/j.issn.1004-5619.2021.410719