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 1226–1250 of 2089 papers

Title	Date	Tasks	Status
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation	Feb 11, 2021	Image SegmentationMedical Image Segmentation	—Unverified
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images	Jan 27, 2025	Image SegmentationMedical Image Segmentation	—Unverified
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation	Mar 16, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI	May 7, 2024	Data AugmentationDecision Making	—Unverified
Lung nodules segmentation from CT with DeepHealth toolkit	Aug 1, 2022	Image SegmentationMedical Image Segmentation	—Unverified
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation	Jun 14, 2023	DecoderImage Segmentation	—Unverified
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images	Oct 9, 2023	DecoderMedical Image Segmentation	—Unverified
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network	May 28, 2025	Causal InferenceImage Segmentation	—Unverified
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation	Oct 29, 2024	Decision MakingDiagnostic	—Unverified
Marginal Thresholding in Noisy Image Segmentation	Apr 8, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Masked Image Modeling Advances 3D Medical Image Analysis	Apr 25, 2022	Contrastive LearningDecoder	—Unverified
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain	Feb 9, 2024	Contrastive LearningImage Segmentation	—Unverified
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation	Mar 21, 2024	DecoderImage Segmentation	—Unverified
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation	Dec 20, 2020	DecoderImage Segmentation	—Unverified
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation	Dec 22, 2021	Image SegmentationMedical Image Segmentation	—Unverified
MDFI-Net: Multiscale Differential Feature Interaction Network for Accurate Retinal Vessel Segmentation	Oct 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation	Apr 20, 2025	DiagnosticImage Segmentation	—Unverified
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation	Jun 14, 2022	Brain Tumor SegmentationImage Segmentation	—Unverified
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation	Apr 8, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Medical Image Analysis using Deep Relational Learning	Mar 28, 2023	Brain Tumor SegmentationHomography Estimation	—Unverified
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes	Oct 31, 2017	Computed Tomography (CT)Decision Making	—Unverified
Medical Image Segmentation on MRI Images with Missing Modalities: A Review	Mar 11, 2022	Image GenerationImage Segmentation	—Unverified
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey	Aug 19, 2021	Deep LearningImage Segmentation	—Unverified
Medical Image Segmentation Using a U-Net type of Architecture	May 11, 2020	Decoderimage-classification	—Unverified
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data	Sep 15, 2022	image-classificationImage Classification	—Unverified

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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