Application of Artificial Intelligence Automatic Diatom Identification System in Practical Cases.
Fa Yi Xue Za Zhi
; 36(2): 239-242, 2020 Apr.
Article
en En, Zh
| MEDLINE
| ID: mdl-32530174
ABSTRACT
ABSTRACT Objective To discuss the application of artificial intelligence automatic diatom identification system in practical cases, to provide reference for quantitative diatom analysis using the system and to validate the deep learning model incorporated into the system. Methods Organs from 10 corpses in water were collected and digested with diatom nitric acid; then the smears were digitally scanned using a digital slide scanner and the diatoms were tested qualitatively and quantitatively by artificial intelligence automatic diatom identification system. Results The area under the curve ï¼AUCï¼ of the receiver operator characteristic ï¼ROCï¼ curve of the deep learning model incorporated into the artificial intelligence automatic diatom identification system, reached 98.22% and the precision of diatom identification reached 92.45%. Conclusion The artificial intelligence automatic diatom identification system is able to automatically identify diatoms, and can be used as an auxiliary tool in diatom testing in practical cases, to provide reference to drowning diagnosis.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Diatomeas
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
/
Zh
Revista:
Fa Yi Xue Za Zhi
Asunto de la revista:
JURISPRUDENCIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
China