Ultrasonic liver detection tracking method based on DDet model

The invention relates to the technical field of image processing, in particular to an ultrasonic liver detecting and tracking method based on a DDet model, which comprises the following steps: acquiring an ultrasonic liver video, segmenting the ultrasonic liver video into a plurality of image frames, and marking a lesion area; the method comprises the following steps: constructing an improved Diffusion Det model, replacing a ResNet50 feature extraction network of the Diffusion Det model with a Mix Transform network, and enhancing the global attention of the Diffusion Det model; and the lesion part recognition capability is improved. According to the invention, the problem that the existing image detection tracking method cannot completely capture the diseased region and cannot capture the small diseased region is solved. 本发明涉及图像处理技术领域，尤其涉及基于DDet模型的超声肝脏检测追踪方法，包括获取超声肝脏视频，并分割为若干图像帧，并对病变区域进行标注；构建改进DiffusionDet模型，将DiffusionDet模型的ResNet50特征提取网络替换为Mix Transformer网络，增强DiffusionDet模型的全局注意力；提高病变部位识别能力。本发明解决现有图像检测追踪方法无法