Depth Swin Transformer Unet for Serial Section Biomedical Image Segmentation-Reference-Cited by-同舟云学术

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Depth Swin Transformer Unet for Serial Section Biomedical Image Segmentation

Published:2022-07-20 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Signal and Image Processing (ICSIP)
language:
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Author:

Lin Jun¹,Ge Hongyu²,Wan Ying¹,Zhang Ruobing³

Affiliation:

1. Nanjing University of Science & Technology,School of Mechanical Engineering,Nanjing,China

2. Soochow University,School of Electronic and Information Engineering,Suzhou,China

3. Institute of Biomedical Engineering and Technology Chinese Academy of Sciences,Jiangsu Key Lab of Medical Optics,Suzhou,China

Funder

National Science Foundation

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9886003/9885802/09886148.pdf?arnumber=9886148

Reference28 articles.

1. UNETR: Transformers for 3D Medical Image Segmentation

2. Transunet: Transformers make strong encoders for medical image segmentation;chen;arXiv preprint arXiv 2102 05988,2021

3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

4. 3D U-Net: learning dense volumetric segmentation from sparse annotation;çiçek;International Conference on Medical Image Computing and Computer-Assisted Intervention,2016

5. Weighted Res-UNet for High-Quality Retina Vessel Segmentation

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