Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death.
10.12116/j.issn.1004-5619.2021.410503
- Author:
Ze Hao LI
1
;
Ning Guo LIU
2
;
He Wen DONG
2
;
Lian Jie LI
1
;
Heng Hui HE
1
;
Li Hua LIN
1
;
Qian LIU
1
;
Ming Zhen YANG
2
Author Information
1. Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
2. 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.
- Publication Type:Review
- Keywords:
forensic pathology;
medical imaging technology;
sudden cardiac death;
virtual autopsy;
deep learning;
cardiovascular system;
review
- MeSH:
Artificial Intelligence;
Autopsy;
Death, Sudden, Cardiac/etiology*;
Deep Learning;
Forensic Medicine;
Humans
- From:
Journal of Forensic Medicine
2021;37(4):546-554
- CountryChina
- Language:Chinese
-
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.
