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 1201–1225 of 2089 papers

Title	Date	Tasks	Status	Hype
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation	Nov 10, 2022	Image SegmentationMedical Image Analysis	—Unverified	0
MONAI: An open-source framework for deep learning in healthcare	Nov 4, 2022	Deep LearningMedical Image Classification	CodeCode Available	5
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss	Nov 4, 2022	Boundary DetectionImage Segmentation	—Unverified	0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation	Nov 3, 2022	Decision MakingImage Segmentation	—Unverified	0
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation	Nov 3, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images	Nov 2, 2022	Domain AdaptationImage Segmentation	—Unverified	0
Style Augmentation improves Medical Image Segmentation	Nov 2, 2022	Data AugmentationImage Segmentation	—Unverified	0
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation	Nov 1, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model	Nov 1, 2022	Anomaly DetectionBrain Tumor Segmentation	CodeCode Available	3
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation	Oct 31, 2022	AttributeImage Segmentation	—Unverified	0
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation	Oct 30, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels	Oct 28, 2022	Image SegmentationInductive Bias	CodeCode Available	0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation	Oct 27, 2022	Conditional Image GenerationDenoising	—Unverified	0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture	Oct 27, 2022	Image SegmentationLesion Segmentation	—Unverified	0
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation	Oct 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation	Oct 26, 2022	Contrastive LearningImage Segmentation	CodeCode Available	0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance	Oct 26, 2022	Computed Tomography (CT)GPU	CodeCode Available	0
How precise are performance estimates for typical medical image segmentation tasks?	Oct 26, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images	Oct 25, 2022	DecoderImage Segmentation	—Unverified	0
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation	Oct 25, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data	Oct 24, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network	Oct 24, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Large Batch and Patch Size Training for Medical Image Segmentation	Oct 24, 2022	GPUImage Segmentation	—Unverified	0
Diversity-Promoting Ensemble for Medical Image Segmentation	Oct 22, 2022	DiversityImage Segmentation	—Unverified	0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images	Oct 22, 2022	Image SegmentationLearning Theory	—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