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 451–475 of 2089 papers

Title	Date	Tasks	Status	Hype
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation	Sep 28, 2022	Brain SegmentationImage Segmentation	CodeCode Available	1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation	Sep 23, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
Attentive Symmetric Autoencoder for Brain MRI Segmentation	Sep 19, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation	Sep 15, 2022	DecoderImage Segmentation	CodeCode Available	1
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation	Sep 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Self-Supervised Pretraining for 2D Medical Image Segmentation	Sep 1, 2022	Cardiac SegmentationImage Segmentation	CodeCode Available	1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images	Sep 1, 2022	Boundary DetectionDecoder	CodeCode Available	1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis	Aug 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Boundary-Aware Network for Kidney Parsing	Aug 29, 2022	DecoderImage Segmentation	CodeCode Available	1
Boundary-Aware Network for Abdominal Multi-Organ Segmentation	Aug 29, 2022	DecoderImage Segmentation	CodeCode Available	1
Q-Net: Query-Informed Few-Shot Medical Image Segmentation	Aug 24, 2022	Anomaly DetectionImage Segmentation	CodeCode Available	1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures	Aug 18, 2022	AnatomyContrastive Learning	CodeCode Available	1
FCN-Transformer Feature Fusion for Polyp Segmentation	Aug 17, 2022	Lesion DetectionMedical Image Segmentation	CodeCode Available	1
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation	Aug 12, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Triple-View Feature Learning for Medical Image Segmentation	Aug 12, 2022	DecoderImage Segmentation	CodeCode Available	1
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation	Aug 11, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration	Aug 8, 2022	Image RestorationImage Segmentation	CodeCode Available	1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation	Aug 8, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation	Aug 1, 2022	Image SegmentationMedical Image Analysis	CodeCode Available	1
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation	Jul 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image	Jul 28, 2022	Medical Image SegmentationSegmentation	CodeCode Available	1
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model	Jul 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation	Jul 27, 2022	Data AugmentationDeep Reinforcement Learning	CodeCode Available	1
FastGeodis: Fast Generalised Geodesic Distance Transform	Jul 26, 2022	CPUGPU	CodeCode Available	1
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation	Jul 25, 2022	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	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