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

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Showing 201–225 of 2089 papers

Title	Date	Tasks	Status	Hype
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation	Aug 15, 2024	Image SegmentationMamba	CodeCode Available	1
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation	Aug 14, 2024	Computational EfficiencyDecoder	CodeCode Available	1
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation	Aug 14, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation	Aug 12, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data	Aug 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation	Aug 7, 2024	DecoderImage Segmentation	CodeCode Available	1
Interactive 3D Medical Image Segmentation with SAM 2	Aug 5, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation	Jul 25, 2024	Computational EfficiencyDecoder	CodeCode Available	1
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder	Jul 23, 2024	DecoderImage Segmentation	CodeCode Available	1
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates	Jul 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification	Jul 17, 2024	CPUDomain Adaptation	CodeCode Available	1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy	Jul 17, 2024	DenoisingImage Denoising	CodeCode Available	1
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation	Jul 16, 2024	Domain GeneralizationImage Segmentation	CodeCode Available	1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification	Jul 11, 2024	Domain AdaptationFairness	CodeCode Available	1
Weakly-supervised Medical Image Segmentation with Gaze Annotations	Jul 10, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation	Jul 10, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking	Jul 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models	Jul 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation	Jul 7, 2024	DecoderImage Segmentation	CodeCode Available	1
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation	Jul 3, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues	Jun 27, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Few-Shot Medical Image Segmentation with High-Fidelity Prototypes	Jun 26, 2024	Few-Shot Semantic SegmentationImage Segmentation	CodeCode Available	1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning	Jun 25, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1
Test-Time Generative Augmentation for Medical Image Segmentation	Jun 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields	Jun 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1

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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