Changqing Ding
Biographic Data
| ID | 5008205 |
|---|---|
| NAME | Changqing Ding |
| GIVEN NAMES | Changqing |
| FAMILY NAME | Ding |
| SIGNATURE | DING C |
| AFFILIATIONS | Beijing Forestry University |
| ORCID | 0009-0009-9536-9815 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Analysis of Tracheobronchial Diverticula Based on Semantic Segmentation of CT Images via the Dual-Channel Attention Network
Tracheobronchial diverticula (TD) is a common cystic lesion that can be easily neglected; hence accurate and rapid identification is critical for later diagnosis. There is a strong need to automate this diagnostic process because traditional manual observations are time-consuming and laborious. However, most studies have only focused on the case report or listed the relationship between the disease and other physiological indicators, but a few ha…
Decline of traditional rice farming constrains the recovery of the endangered Asian crested ibis (Nipponia nippon)
No prominent works on this page.
Decline of traditional rice farming constrains the recovery of the endangered Asian crested ibis (Nipponia nippon)
Analysis of Tracheobronchial Diverticula Based on Semantic Segmentation of CT Images via the Dual-Channel Attention Network
Tracheobronchial diverticula (TD) is a common cystic lesion that can be easily neglected; hence accurate and rapid identification is critical for later diagnosis. There is a strong need to automate this diagnostic process because traditional manual observations are time-consuming and laborious. However, most studies have only focused on the case report or listed the relationship between the disease and other physiological indicators, but a few ha…
Agriculture (1 works) · Agroforestry (1 works) · Artificial Intelligence (1 works) · Biology (1 works) · China (1 works) · Computer Science (1 works) · COVID-19 diagnosis using AI (1 works) · Critically endangered (1 works) · Data set (1 works) · Deep learning (1 works)