Research advances in forensic diatom testing

In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming...

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Main Authors:	Yuanyuan Zhou, Yongjie Cao, Jiao Huang, Kaifei Deng, Kaijun Ma, Tianye Zhang, Liqin Chen, Ji Zhang, Ping Huang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2020-04-01
Series:	Forensic Sciences Research
Subjects:	forensic sciences forensic pathology drowning diatom deep learning
Online Access:	http://dx.doi.org/10.1080/20961790.2020.1718901

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spelling	doaj-d5805501d8e64f3bb01e4e955296e1b22020-11-25T03:13:33ZengTaylor & Francis GroupForensic Sciences Research2096-17902471-14112020-04-01529810510.1080/20961790.2020.17189011718901Research advances in forensic diatom testingYuanyuan Zhou0Yongjie Cao1Jiao Huang2Kaifei Deng3Kaijun Ma4Tianye Zhang5Liqin Chen6Ji Zhang7Ping Huang8Academy of Forensic Science, Ministry of JusticeNanjing Medical UniversityXuzhou Medical UniversityAcademy of Forensic Science, Ministry of JusticeInstitute of Forensic Science Shanghai Municipal Public Security BureauInstitute of Forensic Science Shanghai Municipal Public Security BureauInner Mongolia Medical UniversityAcademy of Forensic Science, Ministry of JusticeAcademy of Forensic Science, Ministry of JusticeIn forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming and laborious task. This article reviews the development of diatom testing over the decades and discusses a new method for the potential application of deep learning in diatom testing.http://dx.doi.org/10.1080/20961790.2020.1718901forensic sciencesforensic pathologydrowningdiatomdeep learning
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Yuanyuan Zhou Yongjie Cao Jiao Huang Kaifei Deng Kaijun Ma Tianye Zhang Liqin Chen Ji Zhang Ping Huang
spellingShingle	Yuanyuan Zhou Yongjie Cao Jiao Huang Kaifei Deng Kaijun Ma Tianye Zhang Liqin Chen Ji Zhang Ping Huang Research advances in forensic diatom testing Forensic Sciences Research forensic sciences forensic pathology drowning diatom deep learning
author_facet	Yuanyuan Zhou Yongjie Cao Jiao Huang Kaifei Deng Kaijun Ma Tianye Zhang Liqin Chen Ji Zhang Ping Huang
author_sort	Yuanyuan Zhou
title	Research advances in forensic diatom testing
title_short	Research advances in forensic diatom testing
title_full	Research advances in forensic diatom testing
title_fullStr	Research advances in forensic diatom testing
title_full_unstemmed	Research advances in forensic diatom testing
title_sort	research advances in forensic diatom testing
publisher	Taylor & Francis Group
series	Forensic Sciences Research
issn	2096-1790 2471-1411
publishDate	2020-04-01
description	In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming and laborious task. This article reviews the development of diatom testing over the decades and discusses a new method for the potential application of deep learning in diatom testing.
topic	forensic sciences forensic pathology drowning diatom deep learning
url	http://dx.doi.org/10.1080/20961790.2020.1718901
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Research advances in forensic diatom testing

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