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 1551–1575 of 2089 papers

Title	Date	Tasks	Status
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches	Mar 17, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Superpixel-Guided Label Softening for Medical Image Segmentation	Jul 17, 2020	Image SegmentationMedical Image Analysis	—Unverified
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation	Jan 19, 2022	ClusteringDenoising	—Unverified
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation	May 13, 2024	Few-Shot LearningImage Segmentation	—Unverified
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation	Dec 19, 2023	DenoisingImage Denoising	—Unverified
SUSAN: Segment Unannotated image Structure using Adversarial Network	Dec 3, 2018	Generative Adversarial NetworkImage Segmentation	—Unverified
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation	Feb 28, 2023	Image SegmentationLesion Segmentation	—Unverified
SX-Stitch: An Efficient VMS-UNet Based Framework for Intraoperative Scoliosis X-Ray Image Stitching	Sep 9, 2024	Image SegmentationImage Stitching	—Unverified
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation	Nov 7, 2024	Image SegmentationMedical Image Segmentation	—Unverified
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation	Oct 26, 2023	Brain Tumor SegmentationDecoder	—Unverified
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation	Feb 6, 2025	Brain Tumor SegmentationData Augmentation	—Unverified
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data	Apr 11, 2025	DecoderImage Segmentation	—Unverified
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application	Aug 21, 2021	Image SegmentationMedical Image Segmentation	—Unverified
TAGS: 3D Tumor-Adaptive Guidance for SAM	May 21, 2025	AnatomyImage Segmentation	—Unverified
Taming Mambas for Voxel Level 3D Medical Image Segmentation	Oct 20, 2024	Image SegmentationMamba	—Unverified
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation	Mar 10, 2025	Image SegmentationKnowledge Distillation	—Unverified
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation	Sep 5, 2024	DecoderImage Segmentation	—Unverified
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation	Jan 4, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation	Jun 15, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates	Apr 2, 2025	Computational EfficiencyImage Segmentation	—Unverified
Test-Time Modality Generalization for Medical Image Segmentation	Feb 27, 2025	Domain GeneralizationImage Segmentation	—Unverified
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation	Apr 16, 2025	Image SegmentationLatent Diffusion Model for 3D	—Unverified
Text-guided multi-stage cross-perception network for medical image segmentation	Jun 9, 2025	Image SegmentationMedical Image Segmentation	—Unverified
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model	Sep 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN	Oct 30, 2019	Generative Adversarial NetworkImage Segmentation	—Unverified

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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