The objective of this study was to investigate the diagnosis of colonic polyps (CP) through the computed tomography (CT) images combined with colonoscopy based on Fourier central slice theorem algorithm. In this study, 86 patients with CP admitted to hospital were selected as research objects. CT imaging and colonoscopy were applied to diagnose the patients based on the algorithm of Fourier central slice theorem. The results showed that the diagnostic detection rates of CP and colon cancer (CC) were 88.2% and 94.2%, respectively. The occurrence site of CP was the sigmoid and ascending colon. 38 patients were positive for serosal invasion of CP while 42 patients were negative for serosal invasion of CP, and there were no statistical differences (). The lesion positions of remaining 6 cases were hard to find and could not be detected accurately. Besides, the diagnostic accuracy of preoperative and postoperative stages III and IV was all 100.00%. The combination of CT imaging and colonoscopy was employed to diagnose CP, which was found to be able to accurately locate the lesions, to effectively evaluate the tumor stage before and after surgery, and to have a good diagnostic efficacy in detecting tumor serosal layer.

中文翻译：

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结合结肠镜检查从计算机断层扫描结肠镜图像中检测结肠息肉的深度学习

本研究的目的是基于傅里叶中心切片定理算法，通过计算机断层扫描（CT）图像结合结肠镜检查来探讨结肠息肉（CP）的诊断。本研究选取住院的 CP 患者 86 例作为研究对象。基于傅里叶中心切片定理的算法应用CT成像和结肠镜检查对患者进行诊断。结果表明，CP和结肠癌（CC）的诊断检出率分别为88.2%和94.2%。CP的发生部位为乙状结肠和升结肠。CP浆膜浸润阳性38例，CP浆膜浸润阴性42例，差异无统计学意义。）。其余6例病灶位置较难发现，无法准确检测。此外，术前术后III、IV期诊断准确率均为100.00%。结合CT影像学和结肠镜检查诊断CP，发现能够准确定位病灶，有效评估手术前后的肿瘤分期，对肿瘤浆膜层的检测具有良好的诊断效果。