TY - JOUR A2 - Khalaf, Osamah Ibrahim AU - Sun, Lu AU - Shan, Xiuling AU - Dong, Qihu AU - Wu, Chong AU - Shan, Mei AU - Guo, Hongxia AU - Lu, Rui PY - 2021 DA - 2021/12/26 TI - Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia SP - 8066133 VL - 2021 AB - 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.在这次研究中,100名宫颈损伤病人被选为研究对象并随机划分为控制组和实验组,每组50例控制组和实验组的病人通过超声波脉动结合HPV检测诊断实验组使用优化图像图双边滤波智能去噪算法去噪优化,而控制组不使用优化,并分析比较差异两组诊断效果比较结果实验组三大精度分别为95%、95%和98%三敏感率分别为96%、92%和94%三大特征率分别为99%、97%和98%控制组三大精度分别为84%、86%和84%三种敏感率分别为88%、84%和86%三大特征率分别为81%、83%和88%实验组的精度、敏感度和特征远高于控制组,差值在统计学上意义重大( P级 < 0.05 )概括地说,双边滤波智能去噪算法对超声波弹性学有良好的去噪效果超声波图像处理算法加HPV检测对CIN有更好的诊断SN-1748-670XUR-https://doi.org/101155/20218066133DO-10.1155/20218066133JF-PB计算数学方法HindawiKW-ER