Developed a desktop application utilizing the YOLOv10 live detection model to detect abnormal objects during colonoscopy procedures. The application aims to assist medical professionals in identifying potential abnormalities in real-time, enhancing the accuracy and efficiency of diagnostic processes.
– Implemented YOLOv10 for high-precision object detection.
– Real-time video processing to facilitate live detection.
– User-friendly interface for easy interaction by medical staff.
– Integrated with medical imaging systems for seamless data handling.
– Utilized Custom TKinter for application development.
اسم المستقل | Abdallah A. |
عدد الإعجابات | 0 |
عدد المشاهدات | 5 |
تاريخ الإضافة | |
تاريخ الإنجاز |