Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework

Published:2023-10 Issue:10 Volume:27 Page:4780-4791
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Li Jun¹^ORCID,Zhu Hongzhang²^ORCID,Chen Tao³^ORCID,Qian Xiaohua¹^ORCID

Affiliation:

1. Medical Image and Health Informatics Lab, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Radiology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China

3. Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

Funder

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Med-Engineering Crossing Foundation from Shanghai Jiao Tong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10272722/10177922.pdf?arnumber=10177922

Reference47 articles.

1. Progressive Domain Expansion Network for Single Domain Generalization

2. nnU-Net: A self-configuring method for deep learning-based biomedical image segmentation;isensee;Nature Methods,2020

3. Learning to Learn Single Domain Generalization

4. A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set

5. Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP