Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm-Reference-Cited by-同舟云学术

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Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm

Published:2019-09 Issue: Volume:302 Page:109922
ISSN:0379-0738
Container-title:Forensic Science International
language:en
Short-container-title:Forensic Science International

Author:

Zhou Yuanyuan,Zhang Ji,Huang Jiao,Deng Kaifei,Zhang Jianhua,Qin Zhiqiang,Wang Zhenyuan,Zhang Xiaofeng,Tuo Ya,Chen Liqin,Chen Yijiu^ORCID,Huang Ping

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Science and Technology Committee of Shanghai Municipality

Shanghai Key Laboratory of Forensic Medicine

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference34 articles.

1. Drowning: still a difficult autopsy diagnosis;Piette;Forensic Sci. Int.,2006

2. A valid method to determine the site of drowning;Carballeira;Int. J. Leg. Med.,2018

3. Continuous river monitoring of the diatoms in the diagnosis of drowning;Ludes;J. Forensic Sci.,1996

4. Novel detection of plankton from lung tissue by enzymatic digestion method;Kobayashi;Forensic Sci. Int.,1993

5. Application of a simple enzymatic digestion method for diatom detection in the diagnosis of drowning in putrified corpses by diatom analysis;Ludes;Int. J. Leg. Med.,1994

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