YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support.
- DOI
- 10.1038/s41598-026-62943-z
- Published
- 2026 Jul 21
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62943-z,
title = {YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support.},
author = {Jawaid N and Brohi IA and Ali NI and Korejo IA and Emran NA and Warsi A},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-62943-z},
url = {https://doi.org/10.1038/s41598-026-62943-z}
}RIS
TY - JOUR TI - YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support. AU - Jawaid N AU - Brohi IA AU - Ali NI AU - Korejo IA AU - Emran NA AU - Warsi A PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-62943-z UR - https://doi.org/10.1038/s41598-026-62943-z ER -
APA
N, J., IA, B., NI, A., IA, K., NA, E., & A, W. (2026). YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support.. Scientific reports. https://doi.org/10.1038/s41598-026-62943-z
Source records
- pubmed · retrieved 2026-09-27T06:24:41.413Z