A method for detecting ureteral stent encrustations in medical CT images based on Mask-RCNN and 3D morphological analysis
The proposed medical CT image ureteral stent wall stone detection method based on Mask-RCNN and 3D morphological analysis can effectively assist clinical doctors in diagnosing ureteral stent encrustations.
Authors
- Yuxin Tang (ORCID: https://orcid.org/0000-0003-4694-558X)
- Hongji Hu
- Bo Yan (ORCID: https://orcid.org/0000-0002-5708-2460)
- Zicheng Liu (ORCID: https://orcid.org/0000-0003-1106-2963)
- Yingbo Dai (ORCID: https://orcid.org/0000-0003-1089-416X)
- Junliang Qiu
Institutions
- Sun Yat-sen University (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.3389/fphys.2024.1432121
- Citations
- 1
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.18