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 351–375 of 2089 papers

Title	Date	Tasks	Status	Hype
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration	Oct 3, 2024	image-classificationImage Classification	CodeCode Available	0
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images	Oct 2, 2024	AnatomyForm	CodeCode Available	0
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation	Oct 2, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model	Oct 2, 2024	Instance SegmentationMedical Image Segmentation	CodeCode Available	0
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting	Oct 1, 2024	DiagnosticImage Segmentation	CodeCode Available	1
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation	Oct 1, 2024	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	CodeCode Available	0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation	Oct 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation	Sep 30, 2024	ClassificationDecision Making	CodeCode Available	0
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation	Sep 30, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Medical Image Segmentation with SAM-generated Annotations	Sep 30, 2024	Computed Tomography (CT)Image Segmentation	—Unverified	0
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation	Sep 28, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	2
Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images	Sep 28, 2024	Deep LearningImage Segmentation	—Unverified	0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning	Sep 26, 2024	Domain AdaptationGPU	—Unverified	0
Shape-intensity knowledge distillation for robust medical image segmentation	Sep 26, 2024	Image SegmentationKnowledge Distillation	CodeCode Available	0
Global-Local Medical SAM Adaptor Based on Full Adaption	Sep 26, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation	Sep 26, 2024	Image SegmentationMamba	CodeCode Available	2
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAM	Sep 25, 2024	Explainable Artificial Intelligence (XAI)Lesion Detection	CodeCode Available	0
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation	Sep 25, 2024	Image SegmentationLeft Atrium Segmentation	CodeCode Available	1
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation	Sep 23, 2024	DecoderImage Segmentation	CodeCode Available	0
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation	Sep 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism	Sep 20, 2024	Image SegmentationMedical Image Analysis	—Unverified	0
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation	Sep 19, 2024	Domain GeneralizationImage Segmentation	CodeCode Available	1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation	Sep 19, 2024	Computational EfficiencyImage Segmentation	CodeCode Available	1
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation	Sep 19, 2024	DecoderImage Segmentation	—Unverified	0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection	Sep 18, 2024	Breast Cancer DetectionComputational Efficiency	—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