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 976–1000 of 2089 papers

Title	Date	Tasks	Status
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation	Oct 11, 2024	General KnowledgeImage Segmentation	—Unverified
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data	Oct 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation	Oct 6, 2024	Domain AdaptationImage Segmentation	CodeCode Available
Optimizing Medical Image Segmentation with Advanced Decoder Design	Oct 5, 2024	Brain Tumor SegmentationDecoder	CodeCode Available
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images	Oct 4, 2024	Electron Microscopy Image SegmentationImage Registration	CodeCode Available
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation	Oct 3, 2024	DiagnosticImage Segmentation	—Unverified
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration	Oct 3, 2024	image-classificationImage Classification	CodeCode Available
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images	Oct 3, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model	Oct 2, 2024	Instance SegmentationMedical Image Segmentation	CodeCode Available
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images	Oct 2, 2024	AnatomyForm	CodeCode Available
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation	Oct 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation	Oct 1, 2024	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	CodeCode Available
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation	Sep 30, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation	Sep 30, 2024	ClassificationDecision Making	CodeCode Available
Medical Image Segmentation with SAM-generated Annotations	Sep 30, 2024	Computed Tomography (CT)Image Segmentation	—Unverified
Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images	Sep 28, 2024	Deep LearningImage Segmentation	—Unverified
Global-Local Medical SAM Adaptor Based on Full Adaption	Sep 26, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Shape-intensity knowledge distillation for robust medical image segmentation	Sep 26, 2024	Image SegmentationKnowledge Distillation	CodeCode Available
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning	Sep 26, 2024	Domain AdaptationGPU	—Unverified
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
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation	Sep 23, 2024	DecoderImage Segmentation	CodeCode Available
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism	Sep 20, 2024	Image SegmentationMedical Image Analysis	—Unverified
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation	Sep 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation	Sep 19, 2024	DecoderImage Segmentation	—Unverified
World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography	Sep 18, 2024	Graph Neural 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