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 1101–1125 of 2089 papers

Title	Date	Tasks	Status
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels	Sep 16, 2023	AttributeContrastive Learning	—Unverified
Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach	Aug 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation	Jun 7, 2023	Computed Tomography (CT)Contrastive Learning	—Unverified
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation	Mar 12, 2025	Image SegmentationMamba	—Unverified
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation	Mar 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images	Apr 5, 2021	Boundary DetectionImage Segmentation	—Unverified
Global-Local Medical SAM Adaptor Based on Full Adaption	Sep 26, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning	Jul 2, 2020	Deep LearningImage Segmentation	—Unverified
GMISeg: General Medical Image Segmentation without Re-Training	Nov 21, 2023	DecoderEnsemble Learning	—Unverified
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution	Jan 1, 2021	Boundary DetectionImage Segmentation	—Unverified
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation	Nov 20, 2024	ClusteringImage Segmentation	—Unverified
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation	Sep 26, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation	Jan 18, 2024	Cardiac SegmentationImage Segmentation	—Unverified
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation	May 8, 2024	Image SegmentationMamba	—Unverified
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation	Apr 14, 2025	AnatomyImage Segmentation	—Unverified
Heed the Noise in Performance Evaluations in Neural Architecture Search	Feb 4, 2022	Combinatorial OptimizationEvolutionary Algorithms	—Unverified
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation	Apr 6, 2025	Brain Tumor SegmentationImage Segmentation	—Unverified
hidden markov random fields and cuckoo search method for medical image segmentation	May 19, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Hierarchical Attention Networks for Medical Image Segmentation	Nov 20, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework	Jun 3, 2025	Image SegmentationLesion Segmentation	—Unverified
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation	Jul 10, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks	Aug 16, 2023	Image SegmentationMedical Image Segmentation	—Unverified
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey	Nov 16, 2020	ArticlesImage Segmentation	—Unverified
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss	Nov 4, 2022	Boundary DetectionImage Segmentation	—Unverified
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation	Jul 10, 2025	GPUImage 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