基于神经网络的结直肠息肉检测

Colorectal Polyp Detection Based on Neural Network

摘要: 随着人们生活水平的不断提升，医疗水平不断完善，人们越来越关注自身的生理健康，而结直肠癌作为常见的恶性肿瘤之一，医学上对其关注度也越来越堵多。其中结直肠息肉是结直肠癌的早期病变，其早期诊断和检测是预防结直肠癌、减少患者发病率、死亡率提高的有效途径。针对结直肠检测问题，同时随着深度神经网络的兴起，计算机辅助医师检查结直肠息肉已越来越获得关注，因此本次研究以结直肠息肉当做主要研究对象，通过分析对比主流目标检测算法，分析对比并提出更高精度的检测模型，有效提高结直肠息肉准确度，提高医师检测效率以及降低检测难度。

Abstract: With the continuous improvement of people’s living standards and the continuous improvement of medical care, people are paying more and more attention to their own physical health. As one of the common malignant tumors, colorectal cancer has attracted more and more medical attention. Among them, colorectal polyps are the early lesions of colorectal cancer, and its early diagnosis and detection is an effective way to prevent colorectal cancer, reduce the morbidity of patients, and increase the mortality rate. Aiming at the problem of colorectal detection, and with the rise of deep neural networks, computer-aided physicians in the detection of colorectal polyps have received more and more attention. Therefore, this study takes colorectal polyps as the main research object, and analyzes and compares mainstream target detection algorithms. Analyzed and compared and proposed a higher-precision detection model, which can effectively improve the accuracy of colorectal polyps, improve the detection efficiency of physicians, and reduce the difficulty of detection.