Residual Swin Transformer Unet with Consistency Regularization for Automatic Breast Ultrasound Tumor Segmentation-Reference-Cited by-同舟云学术

Residual Swin Transformer Unet with Consistency Regularization for Automatic Breast Ultrasound Tumor Segmentation

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Zhuang Xianwei¹,Zhu Xiner¹,Hu Haoji¹,Yao Jincao²,Li Wei²,Yang Chen²,Wang Liping²,Feng Na²,Xu Dong²

Affiliation:

1. Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China

2. Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital),Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897941.pdf?arnumber=9897941

Reference20 articles.

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2. Swinunet: Unet-like pure transformer for medical image segmentation;cao;arXiv preprint arXiv 2105 05537,2021

3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

5. Attention u-net: Learning where to look for the pancreas;oktay;arXiv preprint arXiv 1804 03583,2018

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