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 976–1000 of 2089 papers

Title	Date	Tasks	Status	Score
Effect of the output activation function on the probabilities and errors in medical image segmentation	Sep 2, 2021	Binary ClassificationImage Segmentation	CodeCode Available	5
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels	Sep 27, 2022	AnatomyContrastive Learning	CodeCode Available	5
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Domain AdaptationInstance Segmentation	CodeCode Available	5
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning	Oct 21, 2019	Data AugmentationImage Segmentation	CodeCode Available	5
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization	Sep 6, 2023	Image AugmentationImage Segmentation	CodeCode Available	5
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation	Sep 18, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	5
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet	Nov 19, 2018	GPUMedical Image Segmentation	CodeCode Available	5
Dynamic Linear Transformer for 3D Biomedical Image Segmentation	Jun 1, 2022	3D Medical Imaging SegmentationDecoder	CodeCode Available	5
Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation	May 17, 2025	Domain AdaptationImage Segmentation	CodeCode Available	5
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation	May 11, 2023	image-classificationImage Classification	CodeCode Available	5
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation	Aug 14, 2019	DecoderImage Segmentation	CodeCode Available	5
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation	May 23, 2024	DecoderImage Segmentation	CodeCode Available	5
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation	Jan 29, 2024	Active LearningImage Segmentation	CodeCode Available	5
Annotation-Efficient Task Guidance for Medical Segment Anything	Dec 11, 2024	Computed Tomography (CT)Image Segmentation	CodeCode Available	5
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer	Dec 18, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	5
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation	Oct 15, 2024	DiversityImage Segmentation	CodeCode Available	5
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation	Jul 16, 2018	Data AugmentationMedical Image Analysis	CodeCode Available	5
Volumetric medical image segmentation through dual self-distillation in U-shaped networks	Jun 5, 2023	Brain Tumor SegmentationDecoder	CodeCode Available	5
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images	May 31, 2022	GPUImage Segmentation	CodeCode Available	5
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation	Dec 26, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation	Sep 11, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation	Aug 31, 2023	Data AugmentationDecoder	CodeCode Available	5
DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps Segmentation	Aug 15, 2023	Brain Tumor SegmentationDecoder	CodeCode Available	5
DSAC - Differentiable RANSAC for Camera Localization	Nov 17, 2016	Camera LocalizationDeep Learning	CodeCode Available	5
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty	Jun 7, 2023	Active LearningAnatomy	CodeCode Available	5

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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