Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 2089 papers

Title	Date	Tasks	Status	Hype
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance	Sep 29, 2023	Few-Shot LearningHeart Segmentation	CodeCode Available	2
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting	Sep 13, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation	Aug 31, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation	Jul 17, 2023	DecoderImage Segmentation	CodeCode Available	2
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset	Jun 29, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	Jun 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation	May 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Customized Segment Anything Model for Medical Image Segmentation	Apr 26, 2023	DecoderImage Segmentation	CodeCode Available	2
UniverSeg: Universal Medical Image Segmentation	Apr 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation	Apr 12, 2023	channel selectionFederated Learning	CodeCode Available	2
Ambiguous Medical Image Segmentation using Diffusion Models	Apr 10, 2023	DiagnosticDiversity	CodeCode Available	2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation	Mar 20, 2023	Computed Tomography (CT)Decoder	CodeCode Available	2
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation	Mar 17, 2023	DecoderImage Segmentation	CodeCode Available	2
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation	Dec 8, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Medical Image Segmentation Review: The success of U-Net	Nov 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation	Sep 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions	Sep 21, 2022	Data AugmentationDomain Adaptation	CodeCode Available	2
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation	Aug 19, 2022	Deep LearningImage Segmentation	CodeCode Available	2
LViT: Language meets Vision Transformer in Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
UNeXt: MLP-based Rapid Medical Image Segmentation Network	Mar 9, 2022	DecoderImage Segmentation	CodeCode Available	2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark	Feb 28, 2022	Image SegmentationInductive Bias	CodeCode Available	2
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images	Jan 30, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	2
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images	Jan 4, 2022	3D Semantic SegmentationBrain Tumor Segmentation	CodeCode Available	2
TorchXRayVision: A library of chest X-ray datasets and models	Oct 31, 2021	Image ClassificationMedical Image Retrieval	CodeCode Available	2
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers	Aug 16, 2021	DecoderMedical Image Segmentation	CodeCode Available	2

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All datasets Kvasir-SEG CVC-ClinicDB CVC-ColonDB ETIS-LARIBPOLYPDB Synapse multi-organ CT Automatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg 2018 Data Science Bowl GlaS BKAI-IGH NeoPolyp-Small MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge ACDC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.95	—	Unverified
2	EffiSegNet-B5	mean Dice	0.95	—	Unverified
3	EffiSegNet-B4	mean Dice	0.95	—	Unverified
4	SegMed	mean Dice	0.95	—	Unverified
5	FCB Former	mean Dice	0.94	—	Unverified
6	FCB-SwinV2 Transformer	mean Dice	0.94	—	Unverified
7	SEP	mean Dice	0.94	—	Unverified
8	LM-Net	mean Dice	0.94	—	Unverified
9	RAPUNet	mean Dice	0.94	—	Unverified
10	FCBFormer	mean Dice	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.97	—	Unverified
2	RAPUNet	mean Dice	0.96	—	Unverified
3	EMCAD	mean Dice	0.95	—	Unverified
4	Yolo-SAM 2	mean Dice	0.95	—	Unverified
5	RaBiT	mean Dice	0.95	—	Unverified
6	UGCANet	mean Dice	0.95	—	Unverified
7	ESFPNet-L	mean Dice	0.95	—	Unverified
8	FCBFormer	mean Dice	0.95	—	Unverified
9	DuAT	mean Dice	0.95	—	Unverified
10	SegMed	mean Dice	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.95	—	Unverified
2	DUCK-Net	mean Dice	0.94	—	Unverified
3	EMCAD	mean Dice	0.92	—	Unverified
4	SegMed	mean Dice	0.92	—	Unverified
5	UniNet	mean Dice	0.92	—	Unverified
6	ProMISe	mean Dice	0.87	—	Unverified
7	Meta-Polyp	mean Dice	0.87	—	Unverified
8	ResUNet++ + TTA	mean Dice	0.85	—	Unverified
9	PVT-GCASCADE	mean Dice	0.83	—	Unverified
10	PVT-CASCADE	mean Dice	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.96	—	Unverified
2	SegMed	mean Dice	0.94	—	Unverified
3	DUCK-Net	mean Dice	0.94	—	Unverified
4	EMCAD	mean Dice	0.92	—	Unverified
5	ProMISe	mean Dice	0.84	—	Unverified
6	RSAFormer	mean Dice	0.84	—	Unverified
7	ESFPNet-L	mean Dice	0.82	—	Unverified
8	DuAT	mean Dice	0.82	—	Unverified
9	PVT-CASCADE	mean Dice	0.8	—	Unverified
10	SSFormer-L	mean Dice	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Interactive AI-SAM gt box	Avg DSC	90.66	—	Unverified
2	Medical SAM Adapter	Avg DSC	89.8	—	Unverified
3	MedSegDiff-v2	Avg DSC	89.5	—	Unverified
4	nnUNet	Avg DSC	88.8	—	Unverified
5	MedNeXt-L (5x5x5)	Avg DSC	88.76	—	Unverified
6	MIST	Avg DSC	86.92	—	Unverified
7	nnFormer	Avg DSC	86.57	—	Unverified
8	AgileFormer	Avg DSC	86.11	—	Unverified
9	MERIT	Avg DSC	84.9	—	Unverified
10	Automatic AI-SAM	Avg DSC	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCT	Avg DSC	94.26	—	Unverified
2	Interactive AI-SAM gt box	Avg DSC	93.89	—	Unverified
3	FCT	Avg DSC	93.02	—	Unverified
4	LHU-Net	Avg DSC	92.65	—	Unverified
5	MIST	Avg DSC	92.56	—	Unverified
6	MERIT	Avg DSC	92.32	—	Unverified
7	MERIT-GCASCADE	Avg DSC	92.23	—	Unverified
8	EMCAD	Avg DSC	92.12	—	Unverified
9	nnFormer	Avg DSC	92.06	—	Unverified
10	Automatic AI-SAM	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified