基于5G+改进的人工智能算法的肠道息肉自动识别检测

Automatic Recognition and Detection of Intestinal Polyps Based on 5G+Improved Artificial Intelligence Algorithm

为了辅助提高消化内科内窥镜临床医师对肠道息肉的检测客观识别率和效率,开发了一种肠道息肉自动识别检测系统。在医师进行内窥镜检测时,可以自动识别和标记肠道息肉,并可以自动保存至系统。以YOLOv5算法为基本框架,引入了Ghost模块和混合注意力机制,提高了该算法对肠道息肉的检测能力。同时,该系统结合5G技术,可以将移动手机端作为采集病理的前端设备,更加便捷高效地实现对息肉的检测应用。

In order to assist in improving the objective recognition rate and efficiency of endoscopic clinical physicians in the detection of intestinal polyps,an automatic recognition and detection system for intestinal polyps has been developed.During endoscopic examination by physicians,intestinal polyps can be automatically identified and labeled,and can be automatically saved to the system.Based on the YOLOv5 algorithm as the basic framework,the Ghost module and mixed attention mechanism are introduced to improve the detection ability of the algorithm for intestinal polyps.The system also combines 5G technology and can use mobile phones as front-end devices for collecting pathology,making it more convenient and efficient for detecting polyps.