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 701–725 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images	Feb 15, 2020	Instance SegmentationMedical Image Segmentation	CodeCode Available	1	5
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation	Oct 13, 2024	Medical Image AnalysisMedical Image Segmentation	CodeCode Available	1	5
PraNet: Parallel Reverse Attention Network for Polyp Segmentation	Jun 13, 2020	Camouflaged Object SegmentationCamouflage Segmentation	CodeCode Available	1	5
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation	Jun 20, 2021	Active LearningImage Segmentation	CodeCode Available	1	5
Evidence fusion with contextual discounting for multi-modality medical image segmentation	Jun 23, 2022	DecoderImage Segmentation	CodeCode Available	1	5
Towards to Robust and Generalized Medical Image Segmentation Framework	Aug 9, 2021	Image ReconstructionImage Segmentation	CodeCode Available	1	5
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation	Dec 14, 2017	Image SegmentationInfant Brain Mri Segmentation	CodeCode Available	0	5
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound	Jul 3, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0	5
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation	Mar 11, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0	5
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation	Sep 20, 2021	Image SegmentationLeft Atrium Segmentation	CodeCode Available	0	5
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation	Aug 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0	5
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation	May 30, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0	5
3D Medical Image Segmentation based on multi-scale MPU-Net	Jul 11, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0	5
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation	Feb 22, 2024	Contrastive LearningImage Segmentation	CodeCode Available	0	5
Deconver: A Deconvolutional Network for Medical Image Segmentation	Apr 1, 2025	Image RestorationImage Segmentation	CodeCode Available	0	5
DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation	May 15, 2025	Domain AdaptationImage Segmentation	CodeCode Available	0	5
Auto-nnU-Net: Towards Automated Medical Image Segmentation	May 22, 2025	AutoMLComputational Efficiency	CodeCode Available	0	5
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 5, 2024	Dimensionality ReductionImage Segmentation	CodeCode Available	0	5
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice	Nov 5, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0	5
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning	Sep 10, 2020	Medical Image SegmentationRetinal OCT Layer Segmentation	CodeCode Available	0	5
On the relationship between calibrated predictors and unbiased volume estimation	Dec 23, 2021	Active LearningImage Segmentation	CodeCode Available	0	5
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	Jul 6, 2017	3D Medical Imaging SegmentationImage Segmentation	CodeCode Available	0	5
Data augmentation using learned transformations for one-shot medical image segmentation	Feb 25, 2019	AnatomyData Augmentation	CodeCode Available	0	5
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation	May 15, 2025	Data AugmentationImage Segmentation	CodeCode Available	0	5
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis	Aug 12, 2020	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available	0	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	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