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 1276–1300 of 2089 papers

Title	Date	Tasks	Status
MixCL: Pixel label matters to contrastive learning	Mar 4, 2022	Contrastive LearningImage Segmentation	—Unverified
Mixed-Block Neural Architecture Search for Medical Image Segmentation	Feb 23, 2022	Decoderimage-classification	—Unverified
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation	Apr 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Mixed-Supervised Dual-Network for Medical Image Segmentation	Jul 24, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation	Apr 26, 2023	Data AugmentationDeep Learning	—Unverified
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation	Oct 19, 2019	image-classificationImage Classification	—Unverified
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation	Apr 13, 2025	Dictionary LearningDomain Generalization	—Unverified
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation	Oct 15, 2022	DiagnosticImage Segmentation	—Unverified
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation	Jun 29, 2023	Domain GeneralizationFederated Learning	—Unverified
MM-UNet: Meta Mamba UNet for Medical Image Segmentation	Mar 21, 2025	DecoderImage Segmentation	—Unverified
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation	Jun 6, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Modelling brain lesion volume in patches with CNN-based Poisson Regression	Nov 26, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Modern Convex Optimization to Medical Image Analysis	Sep 24, 2018	Computed Tomography (CT)Image Segmentation	—Unverified
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation	May 14, 2021	Contrastive LearningImage Segmentation	—Unverified
More than Encoder: Introducing Transformer Decoder to Upsample	Jun 20, 2021	DecoderImage Segmentation	—Unverified
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images	Mar 6, 2021	Deep LearningImage Segmentation	—Unverified
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation	Jan 22, 2024	Computational EfficiencyImage Segmentation	—Unverified
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation	Feb 27, 2023	Contrastive LearningImage Segmentation	—Unverified
MPSeg : Multi-Phase strategy for coronary artery Segmentation	Nov 17, 2023	Coronary Artery SegmentationMedical Image Segmentation	—Unverified
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images	Oct 22, 2022	Image SegmentationLearning Theory	—Unverified
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries	Nov 17, 2023	Image SegmentationMedical Image Segmentation	—Unverified
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network	Sep 12, 2021	Conditional Image GenerationGenerative Adversarial Network	—Unverified
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation	Mar 28, 2023	Domain AdaptationEnsemble Learning	—Unverified
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation	Jul 13, 2020	Image SegmentationMedical Image Segmentation	—Unverified
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation	Dec 12, 2023	ClassificationImage Classification	—Unverified

Show:10 25 50

← PrevPage 52 of 84Next →

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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

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