Department of Obstetrics and Gynecology, Shuyang Hospital of Traditional Chinese Medicine, Shuyang, 223600 Jiangsu, China.
Comput Math Methods Med. 2021 Dec 26;2021:8066133. doi: 10.1155/2021/8066133. eCollection 2021.
The aim of this research was to study the application of ultrasonic elastography combined with human papilloma virus (HPV) detection based on bilateral filter intelligent denoising algorithm in the diagnosis of cervical intraepithelial neoplasia (CIN) and provide a theoretical basis for clinical diagnosis and treatment of CIN. In this study, 100 patients with cervical lesions were selected as research objects and randomly divided into control group and experimental group, with 50 cases in each group. Patients in control group and experimental group were diagnosed by ultrasonic elastography combined with HPV detection. The experimental group used the optimized image map of bilateral filter intelligent denoising algorithm for denoising and optimization, while the control group did not use optimization, and the differences between them were analyzed and compared. The diagnostic effects of the two groups were compared. As a result, the three accuracy rates of the experimental group were 95%, 95%, and 98%, respectively; the three sensitivity rates were 96%, 92%, and 94%, respectively; and the three specificity rates were 99%, 97%, and 98%, respectively. In the control group, the three accuracy rates were 84%, 86%, and 84%, respectively; the three sensitivity rates were 88%, 84%, and 86%, respectively; and the three specificity rates were 81%, 83%, and 88%, respectively. The accuracy, sensitivity, and specificity of experiment group were significantly higher than those of control group, and the difference was statistically significant ( < 0.05). In summary, the bilateral filter intelligent denoising algorithm has a good denoising effect on the ultrasonic elastography. The ultrasonic image processed by the algorithm combined with HPV detection has a better diagnosis of CIN.
本研究旨在探讨超声弹性成像联合基于双边滤波智能去噪算法的人乳头瘤病毒（HPV）检测在宫颈上皮内瘤变（CIN）诊断中的应用，为 CIN 的临床诊断和治疗提供理论依据。本研究选取 100 例宫颈病变患者作为研究对象，随机分为对照组和实验组，每组 50 例。对照组和实验组患者均采用超声弹性成像联合 HPV 检测进行诊断，实验组采用双边滤波智能去噪算法优化后的图像图进行去噪和优化，对照组则不进行优化，分析比较两组之间的差异。比较两组的诊断效果。结果显示，实验组的三种准确率分别为 95%、95%和 98%；三种灵敏度分别为 96%、92%和 94%；三种特异度分别为 99%、97%和 98%。对照组的三种准确率分别为 84%、86%和 84%；三种灵敏度分别为 88%、84%和 86%；三种特异度分别为 81%、83%和 88%。实验组的准确率、灵敏度和特异度均明显高于对照组，差异有统计学意义（ < 0.05）。综上所述，双边滤波智能去噪算法对超声弹性成像具有较好的去噪效果，该算法处理后的超声图像联合 HPV 检测对 CIN 具有较好的诊断价值。
