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 2026–2050 of 2089 papers

Title	Date	Tasks	Status
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations	Sep 26, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke	Jul 16, 2019	DecoderImage Segmentation	CodeCode Available
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images	Oct 2, 2024	AnatomyForm	CodeCode Available
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation	Jul 25, 2019	Image SegmentationMedical Image Analysis	CodeCode Available
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation	Oct 18, 2018	Image SegmentationLesion Segmentation	CodeCode Available
Segmentation by registration-enabled SAM prompt engineering using five reference images	Jul 25, 2024	Image RegistrationImage Segmentation	CodeCode Available
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation	May 30, 2022	Data AugmentationImage Segmentation	CodeCode Available
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video	Jul 15, 2022	Lesion DetectionLesion Segmentation	CodeCode Available
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation	Feb 10, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation	Jul 10, 2022	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation	Apr 20, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
Segmenting Medical Images with Limited Data	Jul 12, 2024	DecoderDiversity	CodeCode Available
Segmenting Medical MRI via Recurrent Decoding Cell	Nov 21, 2019	DecoderImage Segmentation	CodeCode Available
Certification of Deep Learning Models for Medical Image Segmentation	Oct 5, 2023	Deep LearningDenoising	CodeCode Available
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data	Dec 6, 2022	Brain Image SegmentationImage Registration	CodeCode Available
Annotation-Efficient Task Guidance for Medical Segment Anything	Dec 11, 2024	Computed Tomography (CT)Image Segmentation	CodeCode Available
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images	Jan 21, 2025	Instance SegmentationMedical Image Segmentation	CodeCode Available
CE-Net: Context Encoder Network for 2D Medical Image Segmentation	Mar 7, 2019	Cell SegmentationDecoder	CodeCode Available
Enhancing pretraining efficiency for medical image segmentation via transferability metrics	Oct 24, 2024	Contrastive LearningImage Segmentation	CodeCode Available
Towards Robust General Medical Image Segmentation	Jul 9, 2021	image-classificationImage Classification	CodeCode Available
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation	Aug 1, 2024	3D Semantic SegmentationDenoising	CodeCode Available
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency	Jun 14, 2024	AnatomyBrain Tumor Segmentation	CodeCode Available
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM	Jan 13, 2025	Computational EfficiencyImage Segmentation	CodeCode Available
Enhancing Cross-Modal Medical Image Segmentation through Compositionality	Aug 21, 2024	DisentanglementImage Segmentation	CodeCode Available
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts	Jan 11, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available

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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