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 1876–1900 of 2089 papers

Title	Date	Tasks	Status
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation	Dec 17, 2024	DecoderImage Segmentation	—Unverified
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations	Jan 17, 2023	Federated LearningImage Segmentation	—Unverified
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation	Feb 5, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation	Jul 26, 2019	Image SegmentationMedical Image Analysis	—Unverified
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation	Mar 6, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation	May 27, 2021	Contrastive LearningDecoder	—Unverified
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification	Jan 4, 2020	ClassificationClustering	—Unverified
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation	Jan 25, 2018	Image SegmentationLesion Detection	—Unverified
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation	Jul 20, 2020	Image SegmentationMedical Image Segmentation	—Unverified
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation	Apr 3, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation	Jun 15, 2024	Image SegmentationMedical Image Analysis	—Unverified
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation	Feb 2, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Self-Supervised Alignment Learning for Medical Image Segmentation	Jun 22, 2024	Contrastive LearningImage Segmentation	—Unverified
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout	Sep 29, 2021	Brain Tumor SegmentationMedical Image Analysis	—Unverified
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation	Jul 17, 2022	Anomaly DetectionImage Segmentation	—Unverified
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation	Sep 22, 2021	Domain AdaptationImage Segmentation	—Unverified
Self-training with dual uncertainty for semi-supervised medical image segmentation	Apr 10, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation	Jun 10, 2019	Boundary DetectionDecoder	—Unverified
Semantic Image Segmentation: Two Decades of Research	Feb 13, 2023	Domain AdaptationDomain Generalization	—Unverified
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models	Apr 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization	Apr 12, 2021	Domain GeneralizationGenerative Adversarial Network	—Unverified
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation	Mar 19, 2025	Image SegmentationKolmogorov-Arnold Networks	—Unverified
Semi-supervised few-shot learning for medical image segmentation	Mar 18, 2020	Few-Shot LearningImage Segmentation	—Unverified
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations	Nov 4, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Semi-supervised Medical Image Segmentation through Dual-task Consistency	Sep 9, 2020	Image SegmentationMedical Image 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	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