AI Smart Medicine

Collaborating with hospitals, this study introduces an enhanced AI model for automated segmentation using CT data. The architecture leverages multi-module integration and data augmentation to optimize feature extraction while suppressing background interference. By improving segmentation accuracy and training reliability, this research provides a robust foundation for real-time clinical diagnostic systems, ultimately supporting efficient decision-making and consistent care for patients.