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 626–650 of 2089 papers

Title	Date	Tasks	Status	Hype
Segment Any Medical Model Extended	Mar 26, 2024	Data AugmentationImage Segmentation	CodeCode Available	3
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation	Mar 26, 2024	DenoisingDiversity	—Unverified	0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion	Mar 26, 2024	Decision MakingImage Segmentation	—Unverified	0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation	Mar 26, 2024	Image SegmentationMamba	—Unverified	0
Deep models for stroke segmentation: do complex architectures always perform better?	Mar 25, 2024	Deep LearningImage Segmentation	—Unverified	0
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation	Mar 25, 2024	DecoderHippocampus	CodeCode Available	0
Clustering Propagation for Universal Medical Image Segmentation	Mar 25, 2024	ClusteringImage Segmentation	CodeCode Available	1
ChebMixer: Efficient Graph Representation Learning with MLP Mixer	Mar 25, 2024	Graph MiningGraph Representation Learning	—Unverified	0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation	Mar 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging	Mar 25, 2024	Few-Shot LearningImage Segmentation	—Unverified	0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentation	Mar 24, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images	Mar 24, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
MatchSeg: Towards Better Segmentation via Reference Image Matching	Mar 23, 2024	Domain GeneralizationFew-Shot Learning	CodeCode Available	1
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans	Mar 22, 2024	GPUImage Segmentation	CodeCode Available	1
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations	Mar 22, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations	Mar 21, 2024	image-classificationImage Classification	—Unverified	0
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation	Mar 21, 2024	DecoderImage Segmentation	—Unverified	0
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation	Mar 20, 2024	Image SegmentationLesion Segmentation	CodeCode Available	2
Diversified and Personalized Multi-rater Medical Image Segmentation	Mar 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
ProMamba: Prompt-Mamba for polyp segmentation	Mar 20, 2024	Image SegmentationMamba	—Unverified	0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge	Mar 19, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency	Mar 19, 2024	Data AugmentationFederated Learning	—Unverified	0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation	Mar 18, 2024	Data AugmentationDomain Generalization	CodeCode Available	0
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation	Mar 17, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation	Mar 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0

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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