分类与摘要
聚焦医学影像分割、诊断或数据选择，体现 AI 方法在临床相关任务中的应用。
引用
Hannan Wang*, Jun Shi*, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An, Clisp: A Robust Interactive Segmentation Framework for Pathological Images, in the proceeding of 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC24), Orlando, Florida, USA, July 15-19, 2024，（CCF B）
@article{acsa2024_33,
title = {Clisp: A Robust Interactive Segmentation Framework for Pathological Images},
year = {2024},
doi = {10.1109/embc53108.2024.10782318}
}| title | Clisp: A Robust Interactive Segmentation Framework for Pathological Images |
|---|---|
| title_zh | 待补充 |
| abstract | 待补充 |
| abstract_zh | 待补充 |
| keywords | Medical, 学位认定 B, CCF B |
| year | 2024 |
| published_date | 待补充 |
| online_date | 待补充 |
| paper_type | Conference |
| publication_status | Published |
| volume | 待补充 |
| issue | 待补充 |
| pages | 待补充 |
| article_number | 待补充 |
| publisher | IEEE |
| doi | 10.1109/embc53108.2024.10782318 |
| research_area | 医学影像与智能诊断 |
| tags | Medical, 学位认定 B, CCF B |
| category | 医学影像与智能诊断 |
| summary | 聚焦医学影像分割、诊断或数据选择，体现 AI 方法在临床相关任务中的应用。 |
| authors | Hannan Wang, Jun Shi, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An |
| corresponding_authors | 待补充 |
| affiliations | 待补充 |
| funding | 待补充 |