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 276–300 of 2089 papers

Title	Date	Tasks	Status	Hype
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities	Dec 4, 2024	Image GenerationImage Segmentation	CodeCode Available	1
Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype	Dec 4, 2024	Few-Shot Semantic SegmentationImage Segmentation	—Unverified	0
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging	Dec 4, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities	Dec 3, 2024	AnatomyComputed Tomography (CT)	—Unverified	0
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT	Dec 1, 2024	Computed Tomography (CT)Image Segmentation	—Unverified	0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps	Dec 1, 2024	DiversityImage Segmentation	—Unverified	0
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation	Nov 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation	Nov 26, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	2
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting	Nov 26, 2024	Few-Shot LearningImage Segmentation	—Unverified	0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis	Nov 26, 2024	Brain Tumor ClassificationBrain Tumor Segmentation	—Unverified	0
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging	Nov 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation	Nov 25, 2024	Data AugmentationImage Segmentation	—Unverified	0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation	Nov 23, 2024	Image SegmentationInteractive Segmentation	—Unverified	0
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training	Nov 23, 2024	Computed Tomography (CT)Image Segmentation	CodeCode Available	1
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation	Nov 22, 2024	Domain GeneralizationImage Segmentation	—Unverified	0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation	Nov 21, 2024	Computed Tomography (CT)Image Segmentation	—Unverified	0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network	Nov 21, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models	Nov 21, 2024	Deep LearningDenoising	—Unverified	0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation	Nov 20, 2024	ClusteringImage Segmentation	—Unverified	0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation	Nov 20, 2024	Contrastive LearningImage Segmentation	CodeCode Available	0
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline	Nov 19, 2024	Image SegmentationInteractive Segmentation	CodeCode Available	3
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation	Nov 19, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation	Nov 19, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling	Nov 18, 2024	Image SegmentationKolmogorov-Arnold Networks	—Unverified	0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation	Nov 18, 2024	Contrastive LearningImage 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