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 526–550 of 2089 papers

Title	Date	Tasks	Status	Hype
GazeSAM: What You See is What You Segment	Apr 26, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation	Jul 14, 2023	Adversarial AttackDeep Learning	CodeCode Available	1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy	Jul 17, 2024	DenoisingImage Denoising	CodeCode Available	1
Benchmarking saliency methods for chest X-ray interpretation	Oct 10, 2022	BenchmarkingDecision Making	CodeCode Available	1
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation	Jul 18, 2023	Domain GeneralizationImage Segmentation	CodeCode Available	1
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data	Mar 6, 2025	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution	Sep 30, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1
Few-Shot Medical Image Segmentation with High-Fidelity Prototypes	Jun 26, 2024	Few-Shot Semantic SegmentationImage Segmentation	CodeCode Available	1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer	Sep 9, 2023	DiversityFew-Shot Learning	CodeCode Available	1
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation	May 4, 2022	Federated LearningImage Segmentation	CodeCode Available	1
Densely Connected Convolutional Networks	Aug 25, 2016	Breast Tumour ClassificationClassification	CodeCode Available	1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation	Apr 10, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation	Apr 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation	Oct 31, 2023	DecoderDenoising	CodeCode Available	1
Few Shot Medical Image Segmentation with Cross Attention Transformer	Mar 24, 2023	Few-Shot LearningImage Segmentation	CodeCode Available	1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation	Jun 1, 2023	DecoderDomain Generalization	CodeCode Available	1
Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation	Dec 19, 2022	DecoderImage Segmentation	CodeCode Available	1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation	Nov 28, 2023	DecoderDiversity	CodeCode Available	1
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking	Jul 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!	May 3, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation	Jun 8, 2023	DisentanglementDomain Adaptation	CodeCode Available	1
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation	Mar 4, 2025	Federated LearningImage Segmentation	CodeCode Available	1
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation	Jan 3, 2022	DecoderMedical Image Segmentation	CodeCode Available	1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Federated Cross Learning for Medical Image Segmentation	Apr 5, 2022	Ensemble LearningFederated Learning	CodeCode Available	1

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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	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