Stat-SAM: Learning Global Echo-Intensity Priors as Prompts for SAM in Ultrasound Image Segmentation.
Juan Chen|Yang Wu|Lei Guo|Wenping Ge|Jie Ma
| Anthology ID: | DBLP:conf/mir/ChenWGGM26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 2808-2812 |
| URL: | https://doi.org/10.1145/3805622.3810649 |
| DOI: | https://doi.org/10.1145/3805622.3810649 |
| DBLP: | conf/mir/ChenWGGM26 |
| BibTeX: |
@inproceedings{chen-2026-statsam,
author = {Juan Chen and
Yang Wu and
Lei Guo and
Wenping Ge and
Jie Ma},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{Stat-SAM: Learning Global Echo-Intensity Priors as Prompts for SAM in Ultrasound Image Segmentation}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {2808--2812},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810649},
doi = {https://doi.org/10.1145/3805622.3810649}
}