An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm-Reference-Cited by-同舟云学术

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An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm

Published:2021-01-03 Issue:3 Volume:135 Page:817-827
ISSN:0937-9827
Container-title:International Journal of Legal Medicine
language:en
Short-container-title:Int J Legal Med

Author:

Zhang Ji,Zhou Yuanyuan,Vieira Duarte Nuno,Cao Yongjie,Deng Kaifei,Cheng Qi,Zhu Yongzheng,Zhang Jianhua,Qin Zhiqiang,Ma Kaijun,Chen Yijiu,Huang Ping

Funder

Natural Science Foundation of China

Ministry of Finance

Science and Technology Commission of Shanghai Municipality

Shanghai Key Laboratory of Forensic Medicine

Publisher

Springer Science and Business Media LLC

Subject

Pathology and Forensic Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00414-020-02497-5.pdf

Reference32 articles.

1. Guiry MD (2012) How many species of algae are there? J Phycol 48:1057–1063. https://doi.org/10.1111/j.1529-8817.2012.01222.x

2. Mann DG, Vanormelingen P (2013) An inordinate fondness? The number, distributions, and origins of diatom species. J Eukaryot Microbiol 60:414–420. https://doi.org/10.1111/jeu.12047

3. Barlow N (2011) The diatoms: applications for the environmental and earth sciences. Quat Sci Rev 30:1011. https://doi.org/10.1016/j.quascirev.2011.01.014

4. Round F, Crawford R, Mann D (1991) The diatoms: biology and morphology of the genera. Taxon 40:156. https://doi.org/10.2307/1222958

5. Ludes B, Coste M, North N, Doray S, Tracqui A, Kintz P (1999) Diatom analysis in victim's tissues as an indicator of the site of drowning. Int J Legal Med 112:163–166. https://doi.org/10.1007/s004140050224

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