MISSFormer: An Effective Transformer for 2D Medical Image Segmentation-Reference-Cited by-同舟云学术

MISSFormer: An Effective Transformer for 2D Medical Image Segmentation

Author:

Huang Xiaohong¹^ORCID,Deng Zhifang¹^ORCID,Li Dandan¹^ORCID,Yuan Xueguang²^ORCID,Fu Ying³^ORCID

Affiliation:

1. School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China

2. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

3. Department of Ultrasound, Peking University Third Hospital, Beijing, China

Funder

Research Fund of Innovation and Transformation of Haidian District

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference41 articles.

2. UNETR: Transformers for 3D medical image segmentation;hatamizadeh;arXiv 2103 10504,2021

4. Uformer: A general u-shaped transformer for image restoration;wang;arXiv 2106 03106,2021

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