The performance of computer-aided detection for chest radiography in tuberculosis screening: a population-based retrospective cohort study
From 2020 to 2022, a pulmonary tuberculosis (PTB) active case finding project based on chest X-ray (CXR) examination was conducted targeting individuals aged ≥65 years old in Jiangshan County, Quzhou City. The current study used computer-aided detection (CAD) software (JF CXR-1 v2) to retrospectivel...
Saved in:
| Main Authors: | Henan Xin, Wei Wang, Xiaomeng Wang, Juanjuan Huang, Yuanzhi Di, Jiang Du, Xuefang Cao, Boxuan Feng, Lingyu Shen, Yijun He, Tonglei Guo, Zihan Li, Jianguo Liang, Zhen Wang, Ping Zhu, Lei Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Emerging Microbes and Infections |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22221751.2025.2470998 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance of Computer‐Aided Detection Software in Tuberculosis Case Finding in Township Health Centers in China
by: Xuefang Cao, et al.
Published: (2025-06-01) -
Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine
by: Andrea Rubini, et al.
Published: (2025-04-01) -
The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest Radiography
by: Hendrik Erenstein, et al.
Published: (2025-03-01) -
An artificial intelligence model for predicting an appropriate mAs with target exposure indicator for chest digital radiography
by: Jia-Ru Lin, et al.
Published: (2025-04-01) -
Evaluation of pediatric diaphragmatic eventration using dynamic chest radiography: A case report
by: Takatoshi Abe, et al.
Published: (2025-01-01)