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 776–800 of 2089 papers

Title	Date	Tasks	Status
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation	May 30, 2024	Image SegmentationMedical Image Segmentation	—Unverified
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking	Jun 25, 2025	BenchmarkingImage Segmentation	—Unverified
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation	Jun 25, 2023	Deep LearningImage Segmentation	—Unverified
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging	Jul 31, 2023	Image SegmentationInformativeness	—Unverified
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation	Nov 25, 2024	Data AugmentationImage Segmentation	—Unverified
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution	Apr 23, 2020	Computed Tomography (CT)Image Segmentation	—Unverified
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation	Nov 2, 2023	GPUImage Segmentation	—Unverified
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation	Sep 4, 2024	DiagnosticImage Segmentation	—Unverified
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior	Mar 27, 2024	AnatomyDecoder	—Unverified
3D Densely Convolutional Networks for VolumetricSegmentation	Sep 13, 2017	3D Medical Imaging SegmentationBrain Segmentation	—Unverified
A hybrid approach for improving U-Net variants in medical image segmentation	Jul 31, 2023	Image SegmentationLesion Segmentation	—Unverified
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training	Apr 27, 2023	Computed Tomography (CT)Medical Image Segmentation	—Unverified
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training	Mar 30, 2022	Domain AdaptationImage Segmentation	—Unverified
MedUHIP: Towards Human-In-the-Loop Medical Segmentation	Aug 3, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration	Nov 15, 2021	Image SegmentationInteractive Segmentation	—Unverified
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation	Nov 15, 2024	Domain GeneralizationImage Segmentation	—Unverified
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images	Aug 12, 2024	Few-Shot LearningImage Segmentation	—Unverified
Attention Mechanisms in Medical Image Segmentation: A Survey	May 29, 2023	ArticlesImage Segmentation	—Unverified
A hybrid approach based segmentation technique for brain tumor in MRI Images	Mar 8, 2016	Image SegmentationMedical Image Segmentation	—Unverified
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation	Oct 16, 2024	DiagnosticImage Segmentation	—Unverified
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation	Jun 3, 2021	Contrastive LearningDecoder	—Unverified
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation	May 25, 2024	Contrastive LearningImage Segmentation	—Unverified
Convolution-Free Medical Image Segmentation using Transformers	Feb 26, 2021	Image SegmentationInductive Bias	—Unverified
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning	Oct 11, 2017	Image SegmentationInteractive Segmentation	—Unverified
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces	Oct 25, 2021	Image SegmentationInteractive Segmentation	—Unverified

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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