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 476–500 of 2089 papers

Title	Date	Tasks	Status	Hype
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization	Jul 25, 2022	counterfactualImage Segmentation	CodeCode Available	1
High-Resolution Swin Transformer for Automatic Medical Image Segmentation	Jul 23, 2022	Brain Tumor SegmentationDecoder	CodeCode Available	1
Learning Topological Interactions for Multi-Class Medical Image Segmentation	Jul 20, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
The Dice loss in the context of missing or empty labels: Introducing Φ and ε	Jul 19, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation	Jul 18, 2022	DecoderImage Segmentation	CodeCode Available	1
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation	Jul 16, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Implicit Neural Representations for Generative Modeling of Living Cell Shapes	Jul 13, 2022	Cell TrackingMedical Image Segmentation	CodeCode Available	1
Personalizing Federated Medical Image Segmentation via Local Calibration	Jul 11, 2022	channel selectionFederated Learning	CodeCode Available	1
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation	Jul 7, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation	Jul 6, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation	Jul 2, 2022	Active LearningBenchmarking	CodeCode Available	1
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning	Jun 29, 2022	Image SegmentationMedical Image Analysis	CodeCode Available	1
vMFNet: Compositionality Meets Domain-generalised Segmentation	Jun 29, 2022	AnatomyImage Segmentation	CodeCode Available	1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Evidence fusion with contextual discounting for multi-modality medical image segmentation	Jun 23, 2022	DecoderImage Segmentation	CodeCode Available	1
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images	Jun 21, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation	Jun 18, 2022	Deep LearningImage Segmentation	CodeCode Available	1
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation	Jun 17, 2022	Medical Image Segmentation	CodeCode Available	1
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels	Jun 16, 2022	Image SegmentationLearning with noisy labels	CodeCode Available	1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation	Jun 16, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation	Jun 6, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation	Jun 3, 2022	DecoderImage Segmentation	CodeCode Available	1
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet	Jun 2, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation	Jun 2, 2022	Data AugmentationDecoder	CodeCode Available	1
The Fully Convolutional Transformer for Medical Image Segmentation	Jun 1, 2022	Image SegmentationMedical Image Analysis	CodeCode Available	1

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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