Research Progress of Automatic Diatom Test by Artificial Intelligence.
10.12116/j.issn.1004-5619.2021.410404
- Author:
Yong-Zheng ZHU
1
;
Ji ZHANG
1
;
Qi CHENG
1
;
Kai-Fei DENG
1
;
Kai-Jun MA
2
;
Jian-Hua ZHANG
1
;
Jian ZHAO
3
;
Jun-Hong SUN
4
;
Ping HUANG
1
;
Zhi-Qiang QIN
1
Author Information
1. Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
2. Shanghai Research Institute of Criminal Science and Technology, Shanghai 200083, China.
3. Guangzhou Forensic Science Institute & Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangzhou 510442, China.
4. School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
deep learning;
diatom test;
drowning;
forensic pathology;
review
- MeSH:
Artificial Intelligence;
Autopsy;
Diatoms;
Drowning/diagnosis*;
Humans;
Lung
- From:
Journal of Forensic Medicine
2022;38(1):14-19
- CountryChina
- Language:English
-
Abstract:
Diatom test is the main laboratory test method in the diagnosis of drowning in forensic medicine. It plays an important role in differentiating the antemortem drowning from the postmortem drowning and inferring drowning site. Artificial intelligence (AI) automatic diatom test is a technological innovation in forensic drowning diagnosis which is based on morphological characteristics of diatom, the application of AI algorithm to automatic identification and classification of diatom in tissues and organs. This paper discusses the morphological diatom test methods and reviews the research progress of automatic diatom recognition and classification involving AI algorithms. AI deep learning algorithm can assist diatom testing to obtain objective, accurate, and efficient qualitative and quantitative analysis results, which is expected to become a new direction of diatom testing research in the drowning of forensic medicine in the future.
