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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–275 of 2089 papers

Title	Date	Tasks	Status	Hype
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation	Dec 19, 2024	Image SegmentationLesion Segmentation	CodeCode Available	0
Pitfalls of topology-aware image segmentation	Dec 19, 2024	BenchmarkingImage Segmentation	—Unverified	0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning	Dec 18, 2024	Federated LearningImage Segmentation	CodeCode Available	0
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation	Dec 18, 2024	Image SegmentationKnowledge Distillation	CodeCode Available	2
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer	Dec 18, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments	Dec 18, 2024	Image SegmentationMedical Image Analysis	—Unverified	0
In-context learning for medical image segmentation	Dec 17, 2024	Image SegmentationIn-Context Learning	—Unverified	0
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation	Dec 17, 2024	Contrastive LearningImage Segmentation	CodeCode Available	1
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation	Dec 17, 2024	DecoderImage Segmentation	—Unverified	0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging	Dec 17, 2024	DiversityImage Segmentation	CodeCode Available	0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation	Dec 16, 2024	AnatomyComputed Tomography (CT)	—Unverified	0
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment	Dec 15, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation	Dec 12, 2024	Cross-Domain Few-ShotDomain Generalization	CodeCode Available	2
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?	Dec 11, 2024	Active LearningMedical Image Segmentation	—Unverified	0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors	Dec 11, 2024	Brain Tumor SegmentationImage Segmentation	—Unverified	0
Annotation-Efficient Task Guidance for Medical Segment Anything	Dec 11, 2024	Computed Tomography (CT)Image Segmentation	CodeCode Available	0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion	Dec 11, 2024	GPUImage Segmentation	CodeCode Available	0
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement	Dec 11, 2024	DecoderImage Segmentation	CodeCode Available	2
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder	Dec 9, 2024	DecoderImage Segmentation	CodeCode Available	0
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans	Dec 9, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Dilated Balanced Cross Entropy Loss for Medical Image Segmentation	Dec 8, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day	Dec 8, 2024	GPUImage Segmentation	CodeCode Available	1
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation	Dec 7, 2024	Contrastive LearningDomain Generalization	—Unverified	0
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation	Dec 7, 2024	DecoderImage Segmentation	—Unverified	0
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation	Dec 5, 2024	Domain GeneralizationImage Generation	CodeCode Available	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