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 301–325 of 2089 papers

Title	Date	Tasks	Status	Hype
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation	Nov 18, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks	Nov 17, 2024	Image SegmentationIncremental Learning	—Unverified	0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention	Nov 16, 2024	DecoderImage Segmentation	—Unverified	0
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection	Nov 15, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation	Nov 15, 2024	Domain GeneralizationImage Segmentation	—Unverified	0
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images	Nov 14, 2024	AnatomyFew-Shot Learning	—Unverified	0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations	Nov 14, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Zero-shot capability of SAM-family models for bone segmentation in CT scans	Nov 13, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms	Nov 7, 2024	Domain GeneralizationImage Segmentation	CodeCode Available	0
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation	Nov 7, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Foundation AI Model for Medical Image Segmentation	Nov 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering	Nov 4, 2024	ClusteringGraph Attention	CodeCode Available	0
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation	Oct 31, 2024	Image SegmentationMamba	CodeCode Available	1
Revisiting MAE pre-training for 3D medical image segmentation	Oct 30, 2024	Image SegmentationMedical Image Analysis	—Unverified	0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation	Oct 29, 2024	Decision MakingDiagnostic	—Unverified	0
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation	Oct 28, 2024	Image SegmentationMedical Image Analysis	—Unverified	0
Enhancing pretraining efficiency for medical image segmentation via transferability metrics	Oct 24, 2024	Contrastive LearningImage Segmentation	CodeCode Available	0
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation	Oct 24, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation	Oct 23, 2024	DenoisingImage Segmentation	—Unverified	0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation	Oct 23, 2024	Contrastive LearningImage Segmentation	—Unverified	0
Gaze-Assisted Medical Image Segmentation	Oct 23, 2024	DiagnosticImage Segmentation	CodeCode Available	1
LIMIS: Towards Language-based Interactive Medical Image Segmentation	Oct 22, 2024	Image SegmentationInteractive Segmentation	—Unverified	0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations	Oct 21, 2024	Image SegmentationLesion Segmentation	—Unverified	0
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation	Oct 21, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Taming Mambas for Voxel Level 3D Medical Image Segmentation	Oct 20, 2024	Image SegmentationMamba	—Unverified	0

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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	RaBiT	mean Dice	0.95	—	Unverified
5	Yolo-SAM 2	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