Application of Artificial Intelligence Automatic Diatom Identification System in Practical Cases / 法医学杂志
Journal of Forensic Medicine
;
(6): 239-242, 2020.
Artículo
en Inglés
| WPRIM
| ID: wpr-985111
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 (AUC) of the receiver operator characteristic (ROC) 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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Cadáver
/
Inteligencia Artificial
/
Diatomeas
/
Ahogamiento
/
Pulmón
Límite:
Humanos
Idioma:
Inglés
Revista:
Journal of Forensic Medicine
Año:
2020
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS