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 376–400 of 2089 papers

Title	Date	Tasks	Status	Hype
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection	Sep 18, 2024	Breast Cancer DetectionComputational Efficiency	—Unverified	0
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning	Sep 17, 2024	Graph AttentionImage Segmentation	—Unverified	0
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation	Sep 16, 2024	BenchmarkingImage Segmentation	CodeCode Available	1
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation	Sep 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration	Sep 16, 2024	Contrastive LearningImage Segmentation	CodeCode Available	0
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis	Sep 15, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model	Sep 14, 2024	Medical Image SegmentationPolyp Segmentation	CodeCode Available	2
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images	Sep 13, 2024	Image SegmentationMamba	—Unverified	0
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition	Sep 13, 2024	DecoderImage Segmentation	—Unverified	0
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation	Sep 13, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models	Sep 12, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation	Sep 12, 2024	DecoderImage Segmentation	CodeCode Available	0
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?	Sep 12, 2024	DecoderDomain Generalization	CodeCode Available	1
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation	Sep 12, 2024	Image SegmentationMedical Diagnosis	CodeCode Available	0
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets	Sep 11, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup Segmentation	Sep 10, 2024	DisentanglementDomain Generalization	CodeCode Available	1
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts	Sep 10, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation	Sep 9, 2024	DecoderImage Segmentation	—Unverified	0
SX-Stitch: An Efficient VMS-UNet Based Framework for Intraoperative Scoliosis X-Ray Image Stitching	Sep 9, 2024	Image SegmentationImage Stitching	—Unverified	0
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation	Sep 8, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels	Sep 8, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis	Sep 7, 2024	Data AugmentationDomain Generalization	CodeCode Available	0
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning	Sep 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Boundary feature fusion network for tooth image segmentation	Sep 6, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation	Sep 5, 2024	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