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. |
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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35725702 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of Inspection Efficiency of Diatom Artificial Intelligence Search System Based on Scanning Electron Microscope. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yu+DY%22">Yu DY</searchLink>; Department of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.; Qingyuan Public Security Bureau, Qingyuan 511500, Guangdong Province, China.<br /><searchLink fieldCode="AU" term="%22Liu+JJ%22">Liu JJ</searchLink>; Department of Forensic Medicine, Kunming Medical University, Kunming 650500, China.<br /><searchLink fieldCode="AU" term="%22Liu+C%22">Liu C</searchLink>; Guangzhou Forensic Science Institute & Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangzhou 510442, China.<br /><searchLink fieldCode="AU" term="%22DU+YK%22">DU YK</searchLink>; Department of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Huang+P%22">Huang P</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhang+J%22">Zhang J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yu+WM%22">Yu WM</searchLink>; Jiangsu JITRI Sioux Technologies Co., Ltd., Suzhou 215100, Jiangsu Province, China.<br /><searchLink fieldCode="AU" term="%22Hu+YC%22">Hu YC</searchLink>; Suzhou LabWorld Scientific Technology Ltd., Suzhou 215100, Jiangsu Province, China.<br /><searchLink fieldCode="AU" term="%22Zhao+J%22">Zhao J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cheng+JD%22">Cheng JD</searchLink>; Department of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229426151%22">Fa yi xue za zhi</searchLink> [Fa Yi Xue Za Zhi] 2022 Feb 25; Vol. 38 (1), pp. 40-45. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Si+fa+bu+si+fa+jian+ding+ke+xue+yan+jiu+yuan%22">Si fa bu si fa jian ding ke xue yan jiu yuan </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>9426151 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1004-5619 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210045619%22">10045619 </searchLink><i>NLM ISO Abbreviation: </i>Fa Yi Xue Za Zhi <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35725702 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12116/j.issn.1004-5619.2021.410719 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 40 Titles: – TitleFull: Evaluation of Inspection Efficiency of Diatom Artificial Intelligence Search System Based on Scanning Electron Microscope. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu DY – PersonEntity: Name: NameFull: Liu JJ – PersonEntity: Name: NameFull: Liu C – PersonEntity: Name: NameFull: DU YK – PersonEntity: Name: NameFull: Huang P – PersonEntity: Name: NameFull: Zhang J – PersonEntity: Name: NameFull: Yu WM – PersonEntity: Name: NameFull: Hu YC – PersonEntity: Name: NameFull: Zhao J – PersonEntity: Name: NameFull: Cheng JD IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 02 Text: 2022 Feb 25 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 1004-5619 Numbering: – Type: volume Value: 38 – Type: issue Value: 1 Titles: – TitleFull: Fa yi xue za zhi Type: main |
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