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 76–100 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes	Aug 30, 2024	Deep LearningImage Segmentation	CodeCode Available	2	5
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning	Sep 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
Generative Medical Segmentation	Mar 27, 2024	DecoderDomain Generalization	CodeCode Available	2	5
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation	Mar 20, 2024	Image SegmentationLesion Segmentation	CodeCode Available	2	5
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation	Jul 19, 2024	DecoderImage Segmentation	CodeCode Available	2	5
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework	Jul 31, 2024	3D Medical Imaging SegmentationMedical Image Segmentation	CodeCode Available	2	5
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation	Aug 27, 2024	Camouflaged Object SegmentationCamouflaged Object Segmentation with a Single Task-generic Prompt	CodeCode Available	2	5
LViT: Language meets Vision Transformer in Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation	Mar 20, 2023	Computed Tomography (CT)Decoder	CodeCode Available	2	5
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	Jun 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation	Dec 12, 2024	Cross-Domain Few-ShotDomain Generalization	CodeCode Available	2	5
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation	May 1, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation	Sep 26, 2024	Image SegmentationMamba	CodeCode Available	2	5
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark	Feb 28, 2022	Image SegmentationInductive Bias	CodeCode Available	2	5
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation	Mar 8, 2024	Federated LearningImage Segmentation	CodeCode Available	2	5
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation	Feb 13, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
A generalizable 3D framework and model for self-supervised learning in medical imaging	Jan 20, 2025	Medical Image SegmentationSelf-Supervised Learning	CodeCode Available	2	5
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation	Jan 3, 2025	ClusteringImage Segmentation	CodeCode Available	2	5
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset	Jun 29, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation	Jul 13, 2024	DenoisingImage Segmentation	CodeCode Available	2	5
Diversified and Personalized Multi-rater Medical Image Segmentation	Mar 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
Multimodal Information Interaction for Medical Image Segmentation	Apr 25, 2024	Heart SegmentationImage Segmentation	CodeCode Available	2	5
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation	Dec 23, 2023	DecoderImage Segmentation	CodeCode Available	2	5
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation	Jan 15, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation	Mar 29, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	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	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