Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation

Published:2023-03 Issue:3 Volume:42 Page:797-809
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Lyu Fei¹^ORCID,Ye Mang²^ORCID,Carlsen Jonathan Frederik³,Erleben Kenny⁴^ORCID,Darkner Sune¹,Yuen Pong C¹^ORCID

Affiliation:

1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tsai, Hong Kong

2. School of Computer Science, Wuhan University, Wuhan, China

3. Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

4. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

Funder

Health and Medical Research Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10057585/09931157.pdf?arnumber=9931157

Reference50 articles.

1. Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images

2. Residual Dilated U-net For The Segmentation Of COVID-19 Infection From CT Images

3. Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation

4. A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

5. CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Texture feature-aware consistency for semi-supervised honeycomb lung lesion segmentation;Expert Systems with Applications;2024-12

2. A self-training method based on fast binary bare-bones particle swarm optimization for semi-supervised classification;Engineering Applications of Artificial Intelligence;2024-10

3. SemiPolypSeg: Leveraging Cross-Pseudo Supervision and Contrastive Learning for Semi-Supervised Polyp Segmentation;Applied Sciences;2024-09-04

4. TLF: Triple learning framework for intracranial aneurysms segmentation from unreliable labeled CTA scans;Computerized Medical Imaging and Graphics;2024-09

5. Bidirectional Efficient Attention Parallel Network for Segmentation of 3D Medical Imaging;Electronics;2024-08-04

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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3