TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation-Reference-Cited by-同舟云学术

TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation

Author:

Zhang Shengjie¹,Ren Bohan²,Yu Ziqi¹^ORCID,Yang Haibo¹^ORCID,Han Xiaoyang¹^ORCID,Chen Xiang¹,Zhou Yuan³,Shen Dinggang⁴^ORCID,Zhang Xiao-Yong¹^ORCID

Affiliation:

1. Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

2. Department of School of Cyber Science and Technology, Beihang University, Beijing, China

3. School of Data Science, Fudan University, Shanghai, China

4. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Office of Global Partnerships (Key Projects Development Fund) at Fudan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference46 articles.

1. Flip-rotate-pooling convolution and split dropout on convolution neural networks for image classification;wu,2015

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