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 251–275 of 2089 papers

Title	Date	Tasks	Status	Hype
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation	Jun 12, 2021	DecoderImage Segmentation	CodeCode Available	1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation	Jan 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation	Feb 8, 2021	Image SegmentationMedical Image Analysis	CodeCode Available	1
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation	Nov 26, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1
Disentangling Human Error from Ground Truth in Segmentation of Medical Images	Dec 1, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1
Directional Connectivity-based Segmentation of Medical Images	Mar 31, 2023	DisentanglementImage Segmentation	CodeCode Available	1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning	Feb 22, 2023	Image SegmentationImage Super-Resolution	CodeCode Available	1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation	Sep 26, 2023	DecoderImage Segmentation	CodeCode Available	1
DivergentNets: Medical Image Segmentation by Network Ensemble	Jul 1, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models	Aug 30, 2023	DenoisingImage Segmentation	CodeCode Available	1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models	Apr 26, 2023	DiversityImage Generation	CodeCode Available	1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation	Jul 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation	Dec 11, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation	Mar 5, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	1
Dual Cross-Attention for Medical Image Segmentation	Mar 30, 2023	Decoder	CodeCode Available	1
Densely Connected Convolutional Networks	Aug 25, 2016	Breast Tumour ClassificationClassification	CodeCode Available	1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy	Jul 17, 2024	DenoisingImage Denoising	CodeCode Available	1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation	Jun 1, 2023	DecoderDomain Generalization	CodeCode Available	1
Boundary loss for highly unbalanced segmentation	Dec 17, 2018	Brain Lesion Segmentation From MriIschemic Stroke Lesion Segmentation	CodeCode Available	1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution	Sep 30, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation	Nov 28, 2023	DecoderDiversity	CodeCode Available	1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation	Jun 14, 2019	image-classificationImage Classification	CodeCode Available	1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation	Sep 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Medical Image Segmentation via Unsupervised Convolutional Neural Network	Jan 28, 2020	Image SegmentationMedical Image Segmentation	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	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