Publications by authors named "Fugai Li"

Article Synopsis
  • - Lung cancer has a high mortality rate, and current CT screening methods struggle with accurately detecting small lung nodules due to challenges like background noise and complex lung structures.
  • - This study presents a new algorithm called the weighted bidirectional recursive pyramid network (BiPRN) combined with a feature extraction module (CBAM_CSPDarknet53) to effectively enhance lung nodule detection in CT images.
  • - Experimental results show that the BiPRN-YOLOv5 model achieves a sensitivity of 98.7% on one dataset and 96.2% on another, indicating that this new method could significantly improve nodule detection in clinical settings.
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