MedSegTransformer

Transformers for medical image segemntation with at least code or peer-reviewed publication.

Updated 2021.12.01

Medical Image Segmentation

Date	First Author	Affiliation	Title	Dim.	Obj.	Pub.
202111	Himashi Peiris	Monash University	A Volumetric Transformer for Accurate 3D Tumor Segmentation [paper] [code]	3D	Brain tumor, pancreas, and liver	Arxiv
202111	Hongyi Wang	ZJU	Mixed Transformer U-Net For Medical Image Segmentation [paper] [code]	2D	Multiple organs and cardiac structures	Arxiv
202111	Dong Yang	NVIDIA	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging [paper]	3D	Liver tumor and lung lesion	ICCV 2021
202109	Yunxiang Li	HDU	GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation [paper] [code]	2D	Tooth root	MLMI 2021
202109	Hong-Yu Zhou	HKU	nnFormer: Interleaved Transformer for Volumetric Segmentation [paper] [code]	3D	Multiple organs and cardiac structures	Arxiv
202107	Madeleine K. Wyburd	University of Oxford	TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations [paper] [code]	2D	Cardiac structures	MICCAI 2021
202107	Yunhe Gao	Rutgers University	UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation [paper] [code]	2D	Cardiac structures	MICCAI 2021
202106	Yuanfeng Ji	HKU	Multi-Compound Transformer for Accurate Biomedical Image Segmentation [paper] [code]	2D	Cell, Polyp, and skin lesion	MICCAI 2021
202106	Shaohua Li	IHPC	Medical Image Segmentation Using Squeeze-and-Expansion Transformers [paper] [code]	2D & 3D	Optic Disc/Cup, Polyp, and brain tumor	IJCAI 2021
202105	Hu Cao	Technische Universitat Munchen	Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation [paper] [code]	3D	Multiple organs and cardiac structures	Arxiv
202103	Ali Hatamizadeh	NVIDIA	UNETR: Transformers for 3D Medical Image Segmentation [paper] [code]	3D	Multiple organs, spleen, and brain tumor	Arxiv
202103	Wenxuan Wang	USTB	TransBTS: Multimodal Brain Tumor Segmentation Using Transformer [paper] [code]	3D	Brain tumor	MICCAI 2021
202103	Boxiang Yun	ECNU	SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation [paper] [code]	3D	Cholangiocarcinoma	Arxiv
202103	Yutong Xie	NWPU	CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation [paper] [code]	3D	Multiple organs	MICCAI 2021
202102	Jeya Maria Jose Valanarasu	JHU	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation [paper] [code]	2D	Brain, gland, and nucleus	MICCAI 2021
202102	Yundong Zhang	Rayicer	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation [paper] [code]	2D	Polyp, skin lesion, hip, and prostate	Arxiv
202102	Jieneng Chen	JHU	TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation [paper] [code]	2D	Multiple organs	Arxiv

Related Information

Surveys of Transformers

Date	First Author	Affiliation	Title	Publication
202111	Yang Liu	ICTCAS	A Survey of Visual Transformers [paper]	Arxiv
202106	Tianyang Lin	Fudan University	A Survey of Transformers [paper]	Arxiv
202101	Salman Khan	MBZUAI	Transformers in Vision: A Survey [paper]	Arxiv
202012	Kai Han	Noah's Ark Lab	A Survey on Vision Transformer [paper]	Arxiv
202009	Yi Tay	Google Research	Efficient Transformers: A Survey [paper]	Arxiv

Groundwork

Date	First Author	Affiliation	Title	Publication
202005	Nicolas Carion	Facebook	End-to-end Object Detection with Transformers [paper] [code]	ECCV 2020
202103	Ze Liu	MSRA	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows [paper] [code]	ICCV 2021
202010	Alexey Dosovitskiy	Google Research	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale [paper] [JAX code] [PyTorch code]	ICLR 2020
201712	Ashish Vaswani	Google Brain & Google Research	Attention Is All You Need [paper] [code]	NeurIPS 2017

Related Topics

Semantic Segmentation

Date	First Author	Affiliation	Title	Publication