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
Huite Yi; Jun Shi; Bing Yan; Xudong Xue; Hong An; Hongyan Zhang. Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer. 2021 IEEE 18th International Symposium on Biomedical Imaging, IEEE ISBI 2021: 230-233
@article{acsa2021_71,
title = {Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer},
year = {2021},
doi = {10.1109/isbi48211.2021.9433980}
}| title | Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer |
|---|---|
| title_zh | 待补充 |
| abstract | 待补充 |
| abstract_zh | 待补充 |
| keywords | Medical, 学位认定 NA |
| year | 2021 |
| published_date | 待补充 |
| online_date | 待补充 |
| paper_type | Journal |
| publication_status | Published |
| volume | In |
| issue | 待补充 |
| pages | 待补充 |
| article_number | 待补充 |
| publisher | IEEE |
| doi | 10.1109/isbi48211.2021.9433980 |
| research_area | 医学影像与智能诊断 |
| tags | Medical, 学位认定 NA |
| 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 | Huite Yi, Jun Shi, Bing Yan, Xudong Xue, Hong An, Hongyan Zhang |
| corresponding_authors | 安虹 |
| affiliations | 待补充 |
| funding | 待补充 |