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
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation	May 6, 2025	Boundary DetectionDecoder	CodeCode Available	2
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation	May 5, 2025	Adversarial AttackAdversarial Robustness	CodeCode Available	0
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation	May 4, 2025	Computed Tomography (CT)Image Segmentation	—Unverified	0
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging	Apr 30, 2025	AI AgentClassification	CodeCode Available	2
RadSAM: Segmenting 3D radiological images with a 2D promptable model	Apr 29, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation	Apr 29, 2025	General KnowledgeImage Segmentation	—Unverified	0
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation	Apr 25, 2025	AnatomyComputed Tomography (CT)	—Unverified	0
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation	Apr 24, 2025	Domain GeneralizationImage Segmentation	CodeCode Available	1
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg	Apr 22, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation	Apr 20, 2025	DiagnosticImage Segmentation	—Unverified	0
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation	Apr 20, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training	Apr 20, 2025	Contrastive LearningImage Segmentation	—Unverified	0
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis	Apr 18, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance	Apr 17, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation	Apr 16, 2025	DiagnosticImage Segmentation	—Unverified	0
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation	Apr 16, 2025	Image SegmentationLatent Diffusion Model for 3D	—Unverified	0
From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation	Apr 15, 2025	DiagnosticImage Segmentation	CodeCode Available	0
PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation	Apr 15, 2025	Foreground SegmentationImage Segmentation	CodeCode Available	1
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain	Apr 15, 2025	DenoisingImage Denoising	—Unverified	0
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation	Apr 14, 2025	AnatomyImage Segmentation	—Unverified	0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation	Apr 13, 2025	Dictionary LearningDomain Generalization	—Unverified	0
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention	Apr 12, 2025	Brain Tumor SegmentationDecoder	—Unverified	0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation	Apr 11, 2025	Image SegmentationMedical Image Analysis	CodeCode Available	0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework	Apr 11, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data	Apr 11, 2025	DecoderImage 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