Yongjie Cao
Biographic Data
| ID | 8607152 |
|---|---|
| NAME | Yongjie Cao |
| GIVEN NAMES | Yongjie |
| FAMILY NAME | Cao |
| SIGNATURE | CAO Y |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Research advances in forensic diatom testing
In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming and laborious task. This article reviews the development of diatom testing over the decades and discusses a new method for the potential application o…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Research advances in forensic diatom testing
In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming and laborious task. This article reviews the development of diatom testing over the decades and discusses a new method for the potential application o…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Computer Science (2 works) · Forensic Anthropology and Bioarchaeology Studies (2 works) · Anatomy (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work) · Autopsy Techniques and Outcomes (1 work) · Biology (1 work) · Convolutional neural network (1 work) · Diatom (1 work) · Engineering (1 work)