Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation

Min LingGuofeng LvJue WangXiaoyu HaoJun ShiHong An

综合科研成果方向论文：Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation

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该条目来自 ACSA 论文清单，可继续补充摘要、分类证据与全文解读。

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完整论文信息Full record

title: Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation
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: 待补充
issue: 待补充
pages: 待补充
article_number: 待补充
publisher: IEEE
doi: 10.1109/isbi48211.2021.9433964
research_area: 综合科研成果
tags: Medical, 学位认定 NA
category: 综合科研成果
summary: 该条目来自 ACSA 论文清单，可继续补充摘要、分类证据与全文解读。
authors: Min Ling, Guofeng Lv, Jue Wang, Xiaoyu Hao, Jun Shi, Hong An
corresponding_authors: 安虹
affiliations: 待补充
funding: 待补充

Research area

综合科研成果

Citation

Min Ling; Guofeng Lv; Jue Wang; Xiaoyu Hao; Jun Shi; Hong An. Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation. in the proceeding of 2021 IEEE 18th International Symposium on Biomedical Imaging, IEEE ISBI 2021: 1037-1041，2021.6

BibTeX

@article{acsa2021_72,
  title = {Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation},
  year = {2021},
  doi = {10.1109/isbi48211.2021.9433964}
}