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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1026–1050 of 2089 papers

Title	Date	Tasks	Status	Hype
Learning to Learn Unlearned Feature for Brain Tumor Segmentation	May 13, 2023	Active LearningBrain Tumor Segmentation	—Unverified	0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation	May 13, 2023	Image SegmentationMedical Image Analysis	—Unverified	0
Meta-Polyp: a baseline for efficient Polyp segmentation	May 13, 2023	DecoderMedical Image Segmentation	CodeCode Available	1
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation	May 11, 2023	Cardiac SegmentationDomain Adaptation	—Unverified	0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation	May 11, 2023	image-classificationImage Classification	CodeCode Available	0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation	May 10, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching	May 9, 2023	Density EstimationDomain Adaptation	—Unverified	0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey	May 5, 2023	BenchmarkingImage Generation	CodeCode Available	0
Mci-net: multi-scale context integrated network for liver ct image segmentation	May 3, 2023	2D Semantic SegmentationImage Segmentation	CodeCode Available	0
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation	May 1, 2023	Boundary DetectionDecoder	CodeCode Available	1
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation	May 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques	Apr 29, 2023	Brain Tumor ClassificationBrain Tumor Segmentation	—Unverified	0
Polyp-SAM: Transfer SAM for Polyp Segmentation	Apr 29, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Segment Anything Model for Medical Images?	Apr 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation	Apr 28, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation	Apr 28, 2023	AnatomyImage Segmentation	—Unverified	0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes	Apr 28, 2023	Image SegmentationMedical Image Analysis	—Unverified	0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model	Apr 27, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training	Apr 27, 2023	Computed Tomography (CT)Medical Image Segmentation	—Unverified	0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation	Apr 26, 2023	Domain AdaptationImage Segmentation	—Unverified	0
GazeSAM: What You See is What You Segment	Apr 26, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Customized Segment Anything Model for Medical Image Segmentation	Apr 26, 2023	DecoderImage Segmentation	CodeCode Available	2
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation	Apr 26, 2023	Data AugmentationDeep Learning	—Unverified	0
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models	Apr 26, 2023	DiversityImage Generation	CodeCode Available	1
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation	Apr 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	3

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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