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 301–325 of 2089 papers

Title	Date	Tasks	Status	Hype
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation	Jun 8, 2020	Cell SegmentationColorectal Polyps Characterization	CodeCode Available	1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning	Jun 25, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets	Nov 20, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation	Sep 13, 2021	DecoderDomain Generalization	CodeCode Available	1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?	Sep 12, 2024	DecoderDomain Generalization	CodeCode Available	1
DivergentNets: Medical Image Segmentation by Network Ensemble	Jul 1, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation	Jan 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation	Sep 18, 2021	Domain GeneralizationImage Segmentation	CodeCode Available	1
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation	Sep 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities	May 30, 2019	DiversityInductive Bias	CodeCode Available	1
Brain Tumor Segmentation with Deep Neural Networks	May 13, 2015	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available	1
CENet: Context Enhancement Network for Medical Image Segmentation	May 23, 2025	DecoderImage Segmentation	CodeCode Available	1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation	Nov 22, 2022	DisentanglementDomain Generalization	CodeCode Available	1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models	Jun 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images	Feb 15, 2020	Instance SegmentationMedical Image Segmentation	CodeCode Available	1
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation	Mar 15, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation	Jun 9, 2025	Contrastive LearningDiagnostic	CodeCode Available	1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels	Mar 3, 2022	Anomaly DetectionCardiac Segmentation	CodeCode Available	1
Channel prior convolutional attention for medical image segmentation	Jun 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation	Apr 28, 2020	DecoderImage Segmentation	CodeCode Available	1
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image	Jul 22, 2021	Image Quality AssessmentMedical Image Segmentation	CodeCode Available	1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 Challenge	Oct 6, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1

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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