Abstract
This study aimed to realize the automatic diagnosis of fatty degeneration of uterine fibroids. In this study, the traditional nonlocal means (NLM) algorithm was improved by changing the Euclidean distance and introducing a cosine function and applied to the ultrasonic imaging intelligent diagnosis of patients with fatty degeneration of uterine fibroids. Then, the noise reduction effect of the improved NLM algorithm was evaluated based on several indicators, such as peak signal-to-noise ratio (PSNR), mean square error (MSE), contrast-to-noise ratio (CNR), figure of merit (FOM), and structural similarity (SSIM). The accuracy, sensitivity, specificity, and F1 score were adopted to evaluate the improved NLM algorithm for diagnosing fatty degeneration of uterine fibroids, and the Perona–Malik (PM) algorithm and NLM algorithm were used for comparative analysis. The results showed that after the ultrasound images of patients with uterine fibroids were denoised using the improved NLM algorithm, the PSNR, MSE, CNR, FOM, and SSIM were obviously better than the same indicators of the image processed with the PM algorithm and the NLM algorithm, and the differences were statistically significant (P < 0.05). The diagnosis results of patients with fatty degeneration of uterine fibroids found that there was only one patient with missed diagnosis after the ultrasound image was processed with NLM algorithm, and there was no statistical difference between the improved NLM algorithm and the assisted diagnosis accuracy of the pathological examination results (P > 0.05). The average noise reduction time of the PM algorithm, NLM algorithm, and the improved NLM algorithm was 16.38 ± 4.33 s, 18.01 ± 5.14 s, and 23.81 ± 4.62 s, respectively. The diagnosis rate before improvement was 75.0%, the diagnosis accuracy rate for PM was 79.69%, and that after improvement was 85.94%. In summary, the improved NLM algorithm showed a good noise reduction effect on ultrasound images of patients with uterine fibroids, could improve the diagnosis accuracy of fatty degeneration of uterine fibroids, and could assist clinicians in the ultrasound imaging diagnosis of patients with uterine fibroids.
Highlights
Uterine fibroid originates from uterine smooth muscle cells and is the most common benign tumor in the reproductive system of women of childbearing age [1]
Subjective Evaluation of the Noise Reduction Effect of Different Noise Reduction Algorithms. e 95 patients with suspected fatty degeneration of uterine fibroids who participated in this study were diagnosed with color Doppler ultrasound. e results of the undenatured two-dimensional ultrasound diagnosis are shown in Figure 2. e results showed that the two-dimensional ultrasound of uterine fibroid without degeneration showed an enlarged uterus, smaller fibroids, and a small number. e uterine morphology of most patients was normal
E echo of the uterine wall was uneven. e submucosal fibroids were separated from the uterine cavity, and the boundary with the endometrium was clear. e internal cervix was opened. e subserosal uterine fibroid could be seen protruding from the surface of the uterus, and the tumors only covered the serosal layer of the uterus. e red color in Figure 2 indicates that the small blood vessels in the fibroids have degenerated and formed thrombi, the hemoglobin has penetrated into the fibroids, and the cut surface is dark red. e acute development of hyalinosis of uterine fibroids, myocyte liquefaction, can be seen in the cystic area staining as light blue cloudy, small clusters of muscle cells remained around the degenerated muscle cells, and there was myocyte proliferation
Summary
Uterine fibroid originates from uterine smooth muscle cells and is the most common benign tumor in the reproductive system of women of childbearing age [1]. Uterine fibroid is composed of smooth muscle and connective tissue. It is common in reproductive women between 30 and 50 years old. Clinical statistics show that the prevalence of uterine fibroid is about 20–40% in women of childbearing age and 51∼60% in women aged between 40 and 50 years, and its incidence has a trend of increasing year by year [2]. Studies have found that obesity can increase the risk of uterine fibroids. Obesity may affect the development of uterine fibroids by changing the level of estrogen metabolism in women [5, 6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
