Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Keywords

Computer scienceArtificial intelligenceSegmentationComputer visionTransformerElectrical engineering

Affiliated Institutions

Related Publications

A ConvNet for the 2020s

Zhuang Liu , Hanzi Mao , Chao-Yuan Wu +3 more

The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification...

2022 2022 IEEE/CVF Conference on Computer ... 5683 citations

UNETR: Transformers for 3D Medical Image Segmentation

Ali Hatamizadeh , Yucheng Tang , Vishwesh Nath +5 more

Fully Convolutional Neural Networks (FCNNs) with contracting and expanding paths have shown prominence for the majority of medical image segmentation applications since the past...

2022 2022 IEEE/CVF Winter Conference on Ap... 2272 citations

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Ze Liu , Yutong Lin , Yue Cao +5 more

This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer ...

2021 2021 IEEE/CVF International Conferenc... 25813 citations

SwinIR: Image Restoration Using Swin Transformer

Jingyun Liang , Jiezhang Cao , Guolei Sun +3 more

Image restoration is a long-standing low-level vision problem that aims to restore high-quality images from low-quality images (e.g., downscaled, noisy and compressed images). W...

2021 3538 citations

Video Swin Transformer

Ze Liu , Ning Jia , Yue Cao +4 more

The vision community is witnessing a modeling shift from CNNs to Transformers, where pure Transformer architectures have attained top accuracy on the major video recognition ben...

2022 2022 IEEE/CVF Conference on Computer ... 1645 citations

Publication Info

Year: 2022
Type: book-chapter
Pages: 272-284
Citations: 1224
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1224

OpenAlex

Cite This

APA Style

                            
                                    Ali Hatamizadeh, 
                                
                                    Vishwesh Nath, 
                                
                                    Yucheng Tang
                                
                                et al.
                            
                            (2022). 
                            Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. 
                            Lecture notes in computer science
                            
                            , 272-284.
                            https://doi.org/10.1007/978-3-031-08999-2_22

Identifiers

DOI: 10.1007/978-3-031-08999-2_22