Automated diatom searching in the digital scanning electron microscopy images of drowning cases using the deep neural networks

Author:

Yu Weimin,Xue Ye,Knoops Rob,Yu Danyuan,Balmashnova Evgeniya,Kang Xiaodong,Falgari Pietro,Zheng Dongyun,Liu Pengfei,Chen Hui,Shi He,Liu Chao,Zhao JianORCID

Funder

Grant-in Aids for Scientific Research from Ministry of Public Security of PRC

Guangzhou Municipal Science and Technology Project

Publisher

Springer Science and Business Media LLC

Subject

Pathology and Forensic Medicine

Reference31 articles.

1. World Health Organization (2014) Global report on drowning: preventing a leading killer. WHO, ISBN 978-92-4-156478-6

2. Kaushik N et al (2017) Role of diatoms in diagnosis of death due to drowning: case studies. Medicine 7(1):59–65

3. Zhao J, Liu C, He S, Lu S (2013) Microwave digestion-vacuum filtration-automated scanning electron microscopy as a sensitive method for forensic diatom test. Int J Legal Med 127(2):459–446

4. Mitchell F (2010) The use of artificial intelligence in digital forensics: an introduction. Digit Evid Electron Signature Law Rev 7:35

5. Costantini S, Giovanni DG, Raffaele O (2019) Digital forensics and investigations meet artificial intelligence. Ann Math Artif Intell 86(1–3):193–229

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