nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer-Reference-Cited by-同舟云学术

nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer

Author:

Zhou Hong-Yu¹^ORCID,Guo Jiansen¹,Zhang Yinghao¹,Han Xiaoguang²^ORCID,Yu Lequan³^ORCID,Wang Liansheng¹^ORCID,Yu Yizhou⁴^ORCID

Affiliation:

1. Department of Computer Science, Xiamen University, Siming, Xiamen, China

2. Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

3. Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam, Hong Kong

4. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong

Funder

Ministry of Science and Technology of the People’s Republic of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference44 articles.

3. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

5. TransClaw U-Net: Claw U-Net with transformers for medical image segmentation;chang;arXiv 2107 05188,2021

Cited by 74 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