Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors

Published:2024-06 Issue:6 Volume:43 Page:2202-2214
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Cheng Ziming¹,Wang Shidong²^ORCID,Xin Tong³^ORCID,Zhou Tao¹,Zhang Haofeng¹^ORCID,Shao Ling⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.

3. School of Computing, Newcastle University, Newcastle upon Tyne, U.K.

4. UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10547147/10413652.pdf?arnumber=10413652

Reference54 articles.

1. HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation

2. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

3. NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

4. Deep learning

Cited by 4 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. A systematic review of few-shot learning in medical imaging;Artificial Intelligence in Medicine;2024-10

2. Sub-features orthogonal decoupling: Detecting bone wall absence via a small number of abnormal examples for temporal CT images;Computerized Medical Imaging and Graphics;2024-07

3. Learning De-biased prototypes for Few-shot Medical Image Segmentation;Pattern Recognition Letters;2024-07

4. Partition-A-Medical-Image: Extracting Multiple Representative Subregions for Few-Shot Medical Image Segmentation;IEEE Transactions on Instrumentation and Measurement;2024

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