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 1926–1950 of 2089 papers

Title	Date	Tasks	Status
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks	Oct 9, 2022	DecoderImage Segmentation	CodeCode Available
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure Reconstruction	Dec 11, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature Fusion	Apr 8, 2025	2D Semantic SegmentationImage Segmentation	CodeCode Available
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis	May 11, 2020	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation	Jun 8, 2023	DecoderGraph Neural Network	CodeCode Available
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images	Oct 11, 2024	Domain AdaptationImage Segmentation	CodeCode Available
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped network	May 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends	Nov 30, 2023	Deep LearningImage Segmentation	CodeCode Available
Cross-dimensional transfer learning in medical image segmentation with deep learning	Jul 29, 2023	image-classificationImage Classification	CodeCode Available
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels	Jan 12, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
Segmentation Style Discovery: Application to Skin Lesion Images	Aug 5, 2024	Image SegmentationLesion Segmentation	CodeCode Available
Cost-Effective Active Learning for Melanoma Segmentation	Nov 24, 2017	Active LearningImage Segmentation	CodeCode Available
ConvUNeXt: An efficient convolution neural network for medical image segmentation	Jul 25, 2022	DecoderImage Segmentation	CodeCode Available
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging	Mar 20, 2020	Brain Image SegmentationBrain Segmentation	CodeCode Available
Exploring Generalizable Distillation for Efficient Medical Image Segmentation	Jul 26, 2022	DecoderImage Segmentation	CodeCode Available
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation	Oct 13, 2022	DecoderImage Segmentation	CodeCode Available
Robust Conformal Volume Estimation in 3D Medical Images	Jul 29, 2024	Conformal PredictionDensity Ratio Estimation	CodeCode Available
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation	Oct 1, 2024	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	CodeCode Available
Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework	May 12, 2025	Image SegmentationKidney Function	CodeCode Available
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation	Oct 26, 2022	Contrastive LearningImage Segmentation	CodeCode Available
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification	Feb 1, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation	Aug 14, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation	Jun 28, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels	Oct 28, 2022	Image SegmentationInductive Bias	CodeCode Available
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation	May 30, 2025	DecoderImage Segmentation	CodeCode Available

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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