Abstract:
Colonoscopy has developed many automated image analysis methods in recent decades. Several recent multi-center clinical trials have tested real-time implementation of the most promising colonoscopy methods. All trials suggest colorectal cancer prevention. We review colonoscopy video analysis methods, focusing on two clinical trial AI technologies. (1) Colonoscopy quality analysis and feedback and (2) abnormality detection. Our survey includes deep-learning and traditional machine learning algorithms on carefully designed hand-crafted features. We conclude with endoscopic AI technology development directions to close the gap between current state-of-the-art technology and desirable clinical features.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
