改进的M2det内窥镜息肉检测方法

结直肠癌是一种致命的疾病,作为息肉的肠腺瘤被认为是结直肠癌的主要病因,因此在临床诊断中发现肠息肉是一项至关重要的任务.息肉检测通常由医生操作内窥镜来实现,由于肠道环境复杂,息肉影像数据量大,小尺度息肉不易辨识,息肉检查过程除了极其依赖医生经验之外,工作压力和强度也给医生带来了极大的负担,因此需要借助计算机辅助诊断技术来...

Improved M2det Endoscopic Polyp Detection Method

Colorectal cancer is a fatal disease. Intestinal adenoma, which is a polyp, is considered to be the main cause of colorectal cancer. Therefore, finding intestinal polyps in clinical diagnosis is a vital task. Polyp detection is usually achieved by doctors operating an endoscope. Due to the complex intestinal environment, the large amount of polyp imaging data, and the difficulty of identifying small-scale polyps, the polyp examination process is extremely dependent on the doctor’s experience, and the work pressure and intensity also bring the doctors. Therefore, it is necessary to use CAD to detect polyps. This technology can effectively process a large amount of polyp imaging data, find early polyps, and improve the accuracy of polyp detection. Some current methods fail to detect small polyps. Therefore, it proposes an improved M2det method for polyp detection. First, the FFMs module is used to fuse the backbone network features to make full use of the image features. Secondly, scSENet is added to the SFAM module. The attention mechanism retains effective features and suppresses useless features. Finally, Focal loss is used to calculate the classification loss, which solves the problem of imbalance between positive and negative samples. A large number of experiments show that this method can effectively detect polyps and is better than cutting-edge polyp detection methods. On the CVC15 data set, mAP, F1-score, and F2-score have been increased to 98.25%, 97.30%, and 97.98%, respectively.