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Miao XY, Miao XN, Ye LY, et al. Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy. Comput Math Methods Med. 2021;2021:9548312doi: 10.1155/2021/9548312.
Miao, X. Y., Miao, X. N., Ye, L. Y., & Cheng, H. (2021). Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy. Computational and mathematical methods in medicine, 20219548312. https://doi.org/10.1155/2021/9548312
Miao, Xiao-Yan, et al. "Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy." Computational and mathematical methods in medicine vol. 2021 (2021): 9548312. doi: https://doi.org/10.1155/2021/9548312
Miao XY, Miao XN, Ye LY, Cheng H. Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy. Comput Math Methods Med. 2021 Oct 29;2021:9548312. doi: 10.1155/2021/9548312. eCollection 2021. PMID: 34745329; PMCID: PMC8570888.
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Comput Math Methods Med. 2021 Oct 29;2021:9548312. doi: 10.1155/2021/9548312. eCollection 2021.

Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy.

Computational and mathematical methods in medicine

Xiao-Yan Miao, Xiao-Nan Miao, Li-Yin Ye, Hong Cheng

Affiliations

  1. Department of Radiation Oncology, The First People's Hospital of Fuyang (Fuyang First Affiliated Hospital of Zhejiang Chinese Medical University Ben Giang College), Hangzhou, China 311400.
  2. Department of Endocrinology, The First People's Hospital of Fuyang (Fuyang First Affiliated Hospital of Zhejiang Chinese Medical University Ben Giang College), Hangzhou, China 311400.
  3. Department of Urology, The First People's Hospital of Fuyang (Fuyang First Affiliated Hospital of Zhejiang Chinese Medical University Ben Giang College), Hangzhou, China 311400.
  4. Department of Ultrasound, The First People's Hospital of Fuyang (Fuyang First Affiliated Hospital of Zhejiang Chinese Medical University Ben Giang College), Hangzhou, China 311400.

PMID: 34745329 PMCID: PMC8570888 DOI: 10.1155/2021/9548312

Abstract

OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureteroscopy with double J tube placement and drainage on ureteral stones during pregnancy. We compare the clinical effect of ureteroscopy with double J tube placement on pregnancy complicated with ureteral stones and use medical imaging to diagnose the patient's condition and design a treatment plan.

METHODS: The image enhancement model is constructed using deep learning and implemented for quality improvement in terms of image clarity. In the way, the relationship of the media transmittance and the image with blurring artifacts was established, and the model can estimate the ureteral stone predicted map of each region. Firstly, we proposed the evolution-based detail enhancement method. Then, the feature extraction network is used to capture blurring artifact-related features. Finally, the regression subnetwork is used to predict the media transmittance in the local area. Eighty pregnant patients with ureteral calculi treated in our hospital were selected as the research object and were divided into a test group and a control group according to the random number table method, 40 cases in each group. The test group underwent ureteroscopy double J tube placement, and the control group underwent ureteroscopy lithotripsy. Combined with the ultrasound scan results of the patients before and after the operation, the operation time, time to get out of bed, and hospitalization time of the two groups of patients were compared. The operation success rate and the incidence of complications within 1 month after surgery were counted in the two groups of patients.

RESULTS: We are able to improve the quality of the images prior to medical diagnosis. The total effective rate of the observation group was 100.0%, which is higher than that of the control group (90.0%). The difference between the two groups was statistically significant (

CONCLUSIONS: The image enhancement model based on deep learning is able to improve medical diagnosis which can assist radiologists to better locate the ureteral stones. Based on our method, double J tube placement under ureteroscopy has a significant effect on the treatment of ureteral stones during pregnancy, and it has good safety and is worthy of widespread application.

Copyright © 2021 Xiao-Yan Miao et al.

Conflict of interest statement

The authors declare that there is no conflict of interest in this paper.

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