Department of Gastroenterology, The Second People's Hospital of Huai'an, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huaian, 223023, Jiangsu, China.
Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Sci Rep. 2024 Jul 5;14(1):15478. doi: 10.1038/s41598-024-66642-5.
Colorectal cancer (CRC) is a common digestive system tumor with high morbidity and mortality worldwide. At present, the use of computer-assisted colonoscopy technology to detect polyps is relatively mature, but it still faces some challenges, such as missed or false detection of polyps. Therefore, how to improve the detection rate of polyps more accurately is the key to colonoscopy. To solve this problem, this paper proposes an improved YOLOv5-based cancer polyp detection method for colorectal cancer. The method is designed with a new structure called P-C3 incorporated into the backbone and neck network of the model to enhance the expression of features. In addition, a contextual feature augmentation module was introduced to the bottom of the backbone network to increase the receptive field for multi-scale feature information and to focus on polyp features by coordinate attention mechanism. The experimental results show that compared with some traditional target detection algorithms, the model proposed in this paper has significant advantages for the detection accuracy of polyp, especially in the recall rate, which largely solves the problem of missed detection of polyps. This study will contribute to improve the polyp/adenoma detection rate of endoscopists in the process of colonoscopy, and also has important significance for the development of clinical work.
结直肠癌（CRC）是一种常见的消化系统肿瘤，在全球范围内具有较高的发病率和死亡率。目前，使用计算机辅助结肠镜技术检测息肉已经相对成熟，但仍面临一些挑战，例如息肉的漏检或误检。因此，如何更准确地提高息肉的检出率是结肠镜检查的关键。为了解决这个问题，本文提出了一种基于改进 YOLOv5 的结直肠癌癌变息肉检测方法。该方法设计了一种新的结构，称为 P-C3，将其纳入模型的骨干网络和颈部网络，以增强特征的表达。此外，在骨干网络的底部引入了上下文特征增强模块，以增加多尺度特征信息的感受野，并通过坐标注意力机制关注息肉特征。实验结果表明，与一些传统的目标检测算法相比，本文提出的模型在息肉检测的准确性方面具有显著优势，特别是在召回率方面，在很大程度上解决了息肉漏检的问题。本研究将有助于提高内窥镜医师在结肠镜检查过程中的息肉/腺瘤检出率，对临床工作的发展也具有重要意义。
