Zhongxian Zhou
Biographic Data
| ID | 7751809 |
|---|---|
| NAME | Zhongxian Zhou |
| GIVEN NAMES | Zhongxian |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU Z |
| AFFILIATIONS | Neijiang Normal University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Intelligent anatomy of spinal tuberculosis
Objective To solve the problems of insufficient model generalization ability and unclear influence of anatomical regional differences in the intelligent diagnosis of spinal tuberculosis, and to construct a multi-center CT deep learning model.Method This study adopted a retrospective multi-center design and collected CT images of 1025 patients with spinal tuberculosis from 4 hospitals in the southwest region from 2012 to 2024. In the preprocessing…
Theory of planned behavior-based cross-sectional study of family sex education for preschoolers in China
The PFSE in Luzhou could be improved by increasing parents' attitudes and social communication, especially for those living in rural areas. Effective implementation and practices of PFSE require correcting the attitudes of parents, improving parents' sexual knowledge, and strengthening social communication so as to promote the sexual and reproductive health of children in China, especially those left behind in rural areas
No prominent works on this page.
Theory of planned behavior-based cross-sectional study of family sex education for preschoolers in China
The PFSE in Luzhou could be improved by increasing parents' attitudes and social communication, especially for those living in rural areas. Effective implementation and practices of PFSE require correcting the attitudes of parents, improving parents' sexual knowledge, and strengthening social communication so as to promote the sexual and reproductive health of children in China, especially those left behind in rural areas
Intelligent anatomy of spinal tuberculosis
Objective To solve the problems of insufficient model generalization ability and unclear influence of anatomical regional differences in the intelligent diagnosis of spinal tuberculosis, and to construct a multi-center CT deep learning model.Method This study adopted a retrospective multi-center design and collected CT images of 1025 patients with spinal tuberculosis from 4 hospitals in the southwest region from 2012 to 2024. In the preprocessing…
Adolescent Sexual and Reproductive Health (1 work) · Biostatistics (1 work) · China (1 work) · Computed tomography (1 work) · COVID-19 diagnosis using AI (1 work) · Cross-sectional study (1 work) · Deep learning (1 work) · Deep neural networks (1 work) · Demographic Trends and Gender Preferences (1 work) · Demography (1 work)