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 501–525 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets	Jul 5, 2023	Efficient ViTsImage Segmentation	CodeCode Available	1	5
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation	Oct 9, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1	5
Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation	Jan 4, 2024	Domain GeneralizationImage Segmentation	CodeCode Available	1	5
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation	Feb 1, 2022	3D Medical Imaging SegmentationImage Segmentation	CodeCode Available	1	5
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation	Feb 13, 2023	DiagnosticImage Segmentation	CodeCode Available	1	5
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation	Oct 4, 2020	3D Medical Imaging SegmentationBrain Tumor Segmentation	CodeCode Available	1	5
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation	Feb 8, 2021	Image SegmentationMedical Image Analysis	CodeCode Available	1	5
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation	Jul 19, 2021	DecoderImage Segmentation	CodeCode Available	1	5
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation	Nov 26, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1	5
KM-UNet KAN Mamba UNet for medical image segmentation	Jan 5, 2025	Computational EfficiencyImage Segmentation	CodeCode Available	1	5
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation	Jun 26, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
An Elastic Interaction-Based Loss Function for Medical Image Segmentation	Jul 6, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
DivergentNets: Medical Image Segmentation by Network Ensemble	Jul 1, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation	Mar 30, 2025	cross-modal alignmentImage Segmentation	CodeCode Available	1	5
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation	Jan 1, 2024	Data AugmentationImage Segmentation	CodeCode Available	1	5
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes	Jun 8, 2024	Data AugmentationImage Generation	CodeCode Available	1	5
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1	5
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation	Feb 17, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation	Jul 10, 2021	AnatomyDomain Adaptation	CodeCode Available	1	5
Learning with Explicit Shape Priors for Medical Image Segmentation	Mar 31, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1	5
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions	Aug 31, 2019	Image SegmentationLesion Segmentation	CodeCode Available	1	5
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset	Aug 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation	Feb 8, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1	5
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation	Jul 2, 2022	Active LearningBenchmarking	CodeCode Available	1	5
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis	Feb 11, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1	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	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