Publications by authors named "Jianqi Yan"
Article Synopsis
- Bronchoscopy is crucial for diagnosing respiratory issues, but visualizing bronchial tubes is often difficult due to interference from substances like mucus and blood.
- This study explores enhancing object detection in bronchoscopy images using a YOLO algorithm integrated with a CBAM attention mechanism, aiming to improve accuracy for medical professionals.
- Results showed the YOLO-V8 model achieved an improved mean Average Precision (mAP) from 87.09% to 88.27% after integrating the attention module, demonstrating the effectiveness of this approach in medical imaging.
