Research advances in forensic diatom testing  

作　　者：Yuanyuan Zhou Yongjie Cao Jiao Huang Kaifei Deng Kaijun Ma Tianye Zhang Liqin Chen Ji Zhang Ping Huang 

机构地区：[1]Shanghai Key Laboratory of Forensic Medicine,Shanghai Forensic Service Platform,Academy of Forensic Science,Ministry of Justice,Shanghai,China [2]Department of Forensic Medicine,Inner Mongolia Medical University,Huhhot,China [3]Department of Forensic Medicine,Nanjing Medical University,Nanjing,China [4]Department of Forensic Medicine,Xuzhou Medical University,Xuzhou,China [5]Institute of Forensic Science Shanghai Municipal Public Security Bureau,Shanghai,China

出　　处：《Forensic Sciences Research》2020年第2期98-105,共8页法庭科学研究（英文）

基　　金：This work was supported by grants from the National Natural Science Foundation of China[grand numbers 81801873,81722027 and 81671869];the Science and Technology Committee of Shanghai Municipality[grand numbers 17DZ2273200 and 19DZ2292700];Key Laboratory of Forensic Medicine[grand numbers KF1802].

摘　　要：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.

关 键 词：Forensic sciences forensic pathology DROWNING DIATOM deep learning 

分 类 号：D919.4[医药卫生—法医学]