分类与摘要
将机器学习用于性能建模、训练系统或主动学习，连接算法与系统实现。
引用
Minfan Zhao*, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan，Wenting Han*, Hong An，Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training，in the proceeding of 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Scotland UK, July 11-15, 2022（CCF B）
@article{acsa2022_53,
title = {Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training},
year = {2022},
doi = {10.1109/embc48229.2022.9871149}
}| title | Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training |
|---|---|
| title_zh | 待补充 |
| abstract | 待补充 |
| abstract_zh | 待补充 |
| keywords | 学位认定 B, CCF B |
| year | 2022 |
| 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/embc48229.2022.9871149 |
| research_area | 机器学习系统 |
| tags | 学位认定 B, CCF B |
| category | 机器学习系统 |
| summary | 将机器学习用于性能建模、训练系统或主动学习，连接算法与系统实现。 |
| authors | Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Wenting Han, Hong An |
| corresponding_authors | 待补充 |
| affiliations | 待补充 |
| funding | 待补充 |