Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation-Reference-Cited by-同舟云学术

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Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation

Published:2024-06 Issue: Volume:106 Page:102253
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Zhang Tianlun,Zhou Xinlei,Wang Debby D.,Wang Xizhao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference44 articles.

1. Multimodal infant brain segmentation by fuzzy-informed deep learning;Ding;IEEE Trans. Fuzzy Syst.,2022

2. Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation;Fernando;Inf. Fusion,2022

3. Deep learning for brain age estimation: A systematic review;Tanveer;Inf. Fusion,2023

4. RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions;Ding;Inf. Sci.,2021

5. Joint auto-weighted graph fusion and scalable semi-supervised learning;Bahrami;Inf. Fusion,2021

Cited by 1 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. Bibliometric Analysis: Research Trends in Leaf Image Segmentation and Classification;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21

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