Clisp: A Robust Interactive Segmentation Framework for Pathological Images

Hannan WangJun ShiMinfan ZhaoLiang QiaoZhaohui WangYue DaiYuchen MaHong An

医学影像与智能诊断方向论文：Clisp: A Robust Interactive Segmentation Framework for Pathological Imag

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内容导读Reading note

分类与摘要Category & abstract

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。

Metadata

完整论文信息Full record

title: Clisp: A Robust Interactive Segmentation Framework for Pathological Images
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: Medical, 学位认定 B, CCF B
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: IEEE
doi: 10.1109/embc53108.2024.10782318
research_area: 医学影像与智能诊断
tags: Medical, 学位认定 B, CCF B
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: Hannan Wang, Jun Shi, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An
corresponding_authors: 待补充
affiliations: 待补充
funding: 待补充

Research area

医学影像与智能诊断

Citation

Hannan Wang*, Jun Shi*, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An, Clisp: A Robust Interactive Segmentation Framework for Pathological Images, in the proceeding of 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC24), Orlando, Florida, USA, July 15-19, 2024，（CCF B）

BibTeX

@article{acsa2024_33,
  title = {Clisp: A Robust Interactive Segmentation Framework for Pathological Images},
  year = {2024},
  doi = {10.1109/embc53108.2024.10782318}
}