医学影像与智能诊断

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

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

Medical学位认定 /

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。

引用

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

@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}
}
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