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 326–350 of 2089 papers

Title	Date	Tasks	Status	Hype
Taming Mambas for Voxel Level 3D Medical Image Segmentation	Oct 20, 2024	Image SegmentationMamba	—Unverified	0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing	Oct 20, 2024	Image SegmentationInstance Segmentation	CodeCode Available	0
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation	Oct 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices	Oct 19, 2024	DecoderImage Segmentation	CodeCode Available	1
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation	Oct 18, 2024	Data AugmentationImage Segmentation	CodeCode Available	1
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation	Oct 17, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation	Oct 17, 2024	Domain AdaptationImage Segmentation	—Unverified	0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation	Oct 16, 2024	DiagnosticImage Segmentation	—Unverified	0
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation	Oct 15, 2024	DiversityImage Segmentation	CodeCode Available	0
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation	Oct 14, 2024	Contrastive LearningImage Segmentation	—Unverified	0
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation	Oct 14, 2024	Boundary DetectionImage Segmentation	CodeCode Available	0
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation	Oct 13, 2024	Medical Image AnalysisMedical Image Segmentation	CodeCode Available	1
A New Perspective to Boost Performance Fairness for Medical Federated Learning	Oct 12, 2024	FairnessFederated Learning	CodeCode Available	0
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images	Oct 11, 2024	Domain AdaptationImage Segmentation	CodeCode Available	0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation	Oct 11, 2024	General KnowledgeImage Segmentation	—Unverified	0
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data	Oct 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters	Oct 8, 2024	Graph Neural NetworkImage Segmentation	CodeCode Available	1
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model	Oct 8, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation	Oct 6, 2024	Domain AdaptationImage Segmentation	CodeCode Available	0
DB-SAM: Delving into High Quality Universal Medical Image Segmentation	Oct 5, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Optimizing Medical Image Segmentation with Advanced Decoder Design	Oct 5, 2024	Brain Tumor SegmentationDecoder	CodeCode Available	0
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images	Oct 4, 2024	Electron Microscopy Image SegmentationImage Registration	CodeCode Available	0
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation	Oct 3, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation	Oct 3, 2024	DiagnosticImage Segmentation	—Unverified	0
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images	Oct 3, 2024	Image SegmentationMedical Image Segmentation	—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