Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations

ZhuZiqiShiJunZhaoMinfanWangZhaohui

医学影像与智能诊断方向论文：Contrast Learning Based Robust Framework for Weakly Supervised Medical I

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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: Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: Medical, 学位认定 /
year: 2023
published_date: 待补充
online_date: 待补充
paper_type: Workshop
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: 10.1007/978-3-031-45087-7_12
research_area: 医学影像与智能诊断
tags: Medical, 学位认定 /
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: Zhu, Ziqi, Shi, Jun, Zhao, Minfan, Wang, Zhaohui
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

Zhu, Ziqi*; Shi, Jun*; Zhao, Minfan; Wang, Zhaohui; Qiao, Liang; An, Hong，Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations， In Proceeding of 2nd Workshop on Computational Mathematics Modeling in Cancer Analysis（CMMCA2023）， Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)，14243 LNCS，110-119，08 October 2023

BibTeX

@article{acsa2023_40,
  title = {Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations},
  year = {2023},
  doi = {10.1007/978-3-031-45087-7_12}
}