A channel-efficient colorectal polyp detection using wavelet-enhanced reverse attention and custom neck YOLO architecture

Key Points

• Improved detection algorithm enhances identification of colorectal polyp cases, with metric performance increase noted.
• The wavelet-enhanced reverse attention mechanism showed a 15% increase in accuracy compared to previous methods.
• Analysis applied a custom neck YOLO architecture focusing on channel efficiency in polyp detection tasks.
• Highlights the potential for more efficient screening procedures for colorectal cancer prevention.