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 826–850 of 2089 papers

Title	Date	Tasks	Status	Score
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data	Jul 27, 2023	Brain Image SegmentationImage Registration	CodeCode Available	5
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands	Oct 23, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning	Oct 29, 2018	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available	5
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation	May 8, 2018	Image SegmentationMedical Image Segmentation	CodeCode Available	5
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis	Feb 13, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation	Jul 29, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Automated Design of Deep Learning Methods for Biomedical Image Segmentation	Apr 17, 2019	Deep LearningImage Segmentation	CodeCode Available	5
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation	Jun 25, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	5
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness	Jul 2, 2024	Federated LearningImage Segmentation	CodeCode Available	5
Color-Quality Invariance for Robust Medical Image Segmentation	Feb 11, 2025	Domain GeneralizationImage Segmentation	CodeCode Available	5
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation	Aug 21, 2024	DisentanglementFederated Learning	CodeCode Available	5
Multi-encoder parse-decoder network for sequential medical image segmentation	Sep 19, 2021	DecoderImage Segmentation	CodeCode Available	5
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization	Jun 24, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
CNN-based Segmentation of Medical Imaging Data	Jan 11, 2017	Brain Tumor SegmentationImage Segmentation	CodeCode Available	5
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training	Sep 21, 2023	Contrastive LearningDecoder	CodeCode Available	5
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters	Dec 1, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	5
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image	Aug 23, 2022	Image SegmentationInductive Bias	CodeCode Available	5
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays	Sep 7, 2021	Contrastive LearningImage Segmentation	CodeCode Available	5
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation	Jan 6, 2025	Cardiac SegmentationImage Segmentation	CodeCode Available	5
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth	Dec 20, 2017	Image GenerationImage-to-Image Translation	CodeCode Available	5
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation	Jun 27, 2023	Contrastive LearningImage Segmentation	CodeCode Available	5
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation	Mar 18, 2024	Data AugmentationDomain Generalization	CodeCode Available	5
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation	Oct 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation	May 5, 2025	Adversarial AttackAdversarial Robustness	CodeCode Available	5
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentation	Oct 13, 2023	3D Semantic SegmentationComputed Tomography (CT)	CodeCode Available	5

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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