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。
证据摘录:Xue4 , Bing Yan5 1School of Computer Science and Technology, University of Science and Technology of China 2School of Data Science, University of Science and Technology of China 3Laoshan Laboratory 4Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology 5Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University || Xue4 , Bing Yan5 1School of Computer Science and Technology, University of Science and Technology of China 2School of Data Science, University of Science and Technology of China 3Laoshan Laboratory 4Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology 5Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine,
引用
Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, et al. Predictive Accuracy-Based Active Learning for Medical Image Segmentation, In the Proceeding of the 33rd International Joint Conference on Artificial Intelligence (IJCAI’24), pp4885-4893,Jeju Island, South Korea, August 3-9, 2024(CCF A)
@article{acsa2024_34,
title = {Predictive Accuracy-Based Active Learning for Medical Image Segmentation},
year = {2024},
doi = {}
} | title | Predictive Accuracy-Based Active Learning for Medical Image Segmentation |
|---|---|
| title_zh | 待补充 |
| abstract | 待补充 |
| abstract_zh | 待补充 |
| keywords | AI, Medical, 学位认定 A, CCF A |
| 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 | 待补充 |
| doi | 待补充 |
| research_area | 医学影像与智能诊断 |
| tags | AI, Medical, 学位认定 A, CCF A |
| 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 | Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An |
| corresponding_authors | 待补充 |
| affiliations | 崂山实验室, 待补充 |
| funding | 待补充 |