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 901–925 of 2089 papers

Title	Date	Tasks	Status	Score
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters	Dec 1, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models	Jun 1, 2023	DecoderImage Segmentation	CodeCode Available	5
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	5
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation	May 25, 2025	Image SegmentationLong-range modeling	CodeCode Available	5
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation	Jul 25, 2019	Image SegmentationMedical Image Analysis	CodeCode Available	5
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer	Aug 1, 2024	DenoisingImage Segmentation	CodeCode Available	5
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video	Jul 15, 2022	Lesion DetectionLesion Segmentation	CodeCode Available	5
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images	Oct 11, 2024	Domain AdaptationImage Segmentation	CodeCode Available	5
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation	Oct 26, 2022	Contrastive LearningImage Segmentation	CodeCode Available	5
Autoadaptive Medical Segment Anything Model	Jul 2, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	5
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural network	May 29, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization	Sep 6, 2023	Image AugmentationImage Segmentation	CodeCode Available	5
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data	Dec 6, 2022	Brain Image SegmentationImage Registration	CodeCode Available	5
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation	Mar 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions	Jul 24, 2021	DecoderImage Segmentation	CodeCode Available	5
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation	Jul 5, 2022	Contrastive LearningImage Segmentation	CodeCode Available	5
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation	Sep 8, 2022	DecoderImage Segmentation	CodeCode Available	5
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped network	May 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
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	5
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation	Oct 4, 2022	DecoderImage Segmentation	CodeCode Available	5
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation	May 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	5
CATS v2: Hybrid encoders for robust medical segmentation	Aug 11, 2023	Domain AdaptationImage Segmentation	CodeCode Available	5
Enhancing pretraining efficiency for medical image segmentation via transferability metrics	Oct 24, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation	Sep 2, 2023	AnatomyData Augmentation	CodeCode Available	5
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations	Mar 22, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	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