FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation

Liang QiaoQiang LiuJun ShiHongyu KanZhaohui WangHong An

医学影像与智能诊断方向论文：FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic

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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: FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: Medical, 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/embc48229.2022.9870880
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: Liang Qiao, Qiang Liu, Jun Shi, Hongyu Kan, Zhaohui Wang, 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

Liang Qiao, Qiang Liu, Jun Shi, Hongyu Kan, Zhaohui Wang, Hong An*,，FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation，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）

BibTeX

@article{acsa2022_52,
  title = {FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation},
  year = {2022},
  doi = {10.1109/embc48229.2022.9870880}
}