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
Zhu, Ziqi*; Shi, Jun*; Zhao, Minfan; Wang, Zhaohui; Qiao, Liang; An, Hong,Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations, In Proceeding of 2nd Workshop on Computational Mathematics Modeling in Cancer Analysis(CMMCA2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14243 LNCS,110-119,08 October 2023
@article{acsa2023_40,
title = {Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations},
year = {2023},
doi = {10.1007/978-3-031-45087-7_12}
} | title | Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations |
|---|---|
| title_zh | 待补充 |
| abstract | 待补充 |
| abstract_zh | 待补充 |
| keywords | Medical, 学位认定 / |
| year | 2023 |
| published_date | 待补充 |
| online_date | 待补充 |
| paper_type | Workshop |
| publication_status | Published |
| volume | 待补充 |
| issue | 待补充 |
| pages | 待补充 |
| article_number | 待补充 |
| publisher | 待补充 |
| doi | 10.1007/978-3-031-45087-7_12 |
| research_area | 医学影像与智能诊断 |
| tags | Medical, 学位认定 / |
| 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 | Zhu, Ziqi, Shi, Jun, Zhao, Minfan, Wang, Zhaohui |
| corresponding_authors | 待补充 |
| affiliations | 待补充 |
| funding | 待补充 |