An optimized deep learning model based on transperineal ultrasound images for precision diagnosis of female stress urinary incontinence
This study demonstrates the potential of DL models, particularly DenseNet-121, to enhance the diagnosis of female SUI using TPUS images, providing a reliable and consistent diagnostic tool for clinical practice.
Authors
- Shanshan Yu (ORCID: https://orcid.org/0000-0002-3405-2920)
- Miaoyan Ma
- Lu Sun
- Kexin Chen (ORCID: https://orcid.org/0000-0003-4248-7681)
- Qi Chen (ORCID: https://orcid.org/0000-0001-7437-9410)
- Ning Nan (ORCID: https://orcid.org/0000-0003-4535-1739)
Institutions
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-28
- DOI
- https://doi.org/10.3389/fmed.2025.1564446
- Primary Topic
- Pelvic floor disorders treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00