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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 701–725 of 2089 papers

Title	Date	Tasks	Status	Hype
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis	Nov 29, 2021	AnatomyComputed Tomography (CT)	CodeCode Available	1
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation	Oct 9, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1
GazeSAM: What You See is What You Segment	Apr 26, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty	Jan 1, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1
Evidence fusion with contextual discounting for multi-modality medical image segmentation	Jun 23, 2022	DecoderImage Segmentation	CodeCode Available	1
Robust Source-Free Domain Adaptation for Fundus Image Segmentation	Oct 25, 2023	Domain AdaptationImage Segmentation	CodeCode Available	1
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation	Jun 18, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation	Dec 23, 2020	Domain AdaptationImage Segmentation	—Unverified	0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation	Jan 5, 2021	Image SegmentationMedical Image Segmentation	—Unverified	0
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet	Dec 20, 2021	Image SegmentationMedical Image Segmentation	—Unverified	0
_1DecNet+: A new architecture framework by _1 decomposition and iteration unfolding for sparse feature segmentation	Mar 5, 2022	Compressive SensingImage Segmentation	—Unverified	0
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement	Mar 5, 2022	AnatomyImage Segmentation	—Unverified	0
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction	Feb 28, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images	May 26, 2022	Computed Tomography (CT)Image Segmentation	—Unverified	0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation	Dec 8, 2023	Active LearningDomain Adaptation	—Unverified	0
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation	Sep 17, 2023	Brain Tumor SegmentationImage Segmentation	—Unverified	0
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm	May 7, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images	Nov 16, 2021	AnatomyImage Segmentation	—Unverified	0
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation	Dec 20, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation	Oct 17, 2024	Domain AdaptationImage Segmentation	—Unverified	0
Image Segmentation Using Hybrid Representations	Apr 15, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Data variation-aware medical image segmentation	Feb 24, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation	Jul 5, 2019	Domain AdaptationImage Segmentation	—Unverified	0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks	Aug 23, 2019	Image SegmentationLesion Segmentation	—Unverified	0
Data-Driven Deep Supervision for Medical Image Segmentation	Jun 14, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0

Show:10 25 50

← PrevPage 29 of 84Next →

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