Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death / 法医学杂志
Journal of Forensic Medicine
; (6): 546-554, 2021.
Article
en Zh
| WPRIM
| ID: wpr-985247
Biblioteca responsable:
WPRO
ABSTRACT
In the field of forensic medicine, diagnosis of sudden cardiac death is limited by subjective factors and manual measurement methods, so some parameters may have estimation deviation or measurement deviation. As postmortem CT imaging plays a more and more important role in the appraisal of cause of death and cardiopathology research, the application of deep learning such as artificial intelligence technology to analyze vast amounts of cardiac imaging data has provided a possibility for forensic identification and scientific research workers to conduct precise diagnosis and quantitative analysis of cardiac diseases. This article summarizes the main researches on deep learning in the field of cardiac imaging in recent years, and proposes a feasible development direction for the application of deep learning in the virtual anatomy of sudden cardiac death at present.
Palabras clave
Texto completo:
1
Banco de datos:
WPRIM
Asunto principal:
Autopsia
/
Inteligencia Artificial
/
Muerte Súbita Cardíaca
/
Medicina Legal
/
Aprendizaje Profundo
Límite:
Humans
Idioma:
Zh
Revista:
Journal of Forensic Medicine
Año:
2021
Tipo del documento:
Article