医学影像与智能诊断

FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images

医学影像与智能诊断方向论文:FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head

Medical学位认定 CCCF C

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

Liu, Qiang; Shi, Jun; Qiao, Liang; Zhu, Ziqi; An, Hong; Zhao, Minfan, FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images, In the Proceedings of 20th IEEE International Symposium on Biomedical Imaging (ISBI 23),Cartagena, Colombia, April 18, 2023 - April 21, 2023.

@article{acsa2023_42,
  title = {FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images},
  year = {2023},
  doi = {10.1109/isbi53787.2023.10230383}
}
title FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images
title_zh 待补充
abstract 待补充
abstract_zh 待补充
keywords Medical, 学位认定 C, CCF C
year 2023
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/isbi53787.2023.10230383
research_area 医学影像与智能诊断
tags Medical, 学位认定 C, CCF C
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 Liu, Qiang, Shi, Jun, Qiao, Liang, Zhu, Ziqi
corresponding_authors 待补充
affiliations 待补充
funding 待补充