AI Revolution in Colonoscopy
Advancing Medical Imaging Through Intelligent Systems
This research explores cutting-edge intelligent colonoscopy techniques for enhanced colorectal cancer screening through advanced computer vision.
- Comprehensive assessment of data-centric and model-centric approaches for colonoscopic scene perception
- Integration of four key perception tasks: classification, detection, segmentation, and vision-language understanding
- Development of multimodal medical applications expanding capabilities beyond traditional colonoscopy
This research is transforming medical diagnostics by improving early detection of colorectal cancer, enhancing procedural accuracy, and potentially reducing mortality rates through AI-assisted colonoscopy technologies.