医学影像与智能诊断

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

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

Medical学位认定 BCCF B

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

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)

@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}
}
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