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 951–975 of 2089 papers

Title	Date	Tasks	Status	Score
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization	Jun 24, 2024	Image SegmentationMedical Image 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
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation	Nov 20, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks	Sep 1, 2017	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available	5
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation	Jun 11, 2025	Domain AdaptationImage 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
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation	May 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Elastic Boundary Projection for 3D Medical Image Segmentation	Dec 3, 2018	3D Medical Imaging SegmentationImage Segmentation	CodeCode Available	5
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation	Oct 18, 2018	Image SegmentationLesion Segmentation	CodeCode Available	5
CANet: Context aware network with dual-stream pyramid for medical image segmentation	Mar 5, 2023	2D Semantic SegmentationDecoder	CodeCode Available	5
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment	Dec 15, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation	Mar 18, 2016	3D Medical Imaging SegmentationBrain Lesion Segmentation From Mri	CodeCode Available	5
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation	Feb 10, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available	5
Calibrating Segmentation Networks with Margin-based Label Smoothing	Sep 9, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	5
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation	Jul 10, 2022	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available	5
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels	Sep 27, 2022	AnatomyContrastive Learning	CodeCode Available	5
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning	Oct 21, 2019	Data AugmentationImage Segmentation	CodeCode Available	5
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder	Dec 9, 2024	DecoderImage Segmentation	CodeCode Available	5
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle	Aug 5, 2022	Image SegmentationLesion Segmentation	CodeCode Available	5
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation	Dec 5, 2024	Domain GeneralizationImage Generation	CodeCode Available	5
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation	Mar 14, 2025	Image SegmentationLesion Segmentation	CodeCode Available	5
Effect of the output activation function on the probabilities and errors in medical image segmentation	Sep 2, 2021	Binary ClassificationImage Segmentation	CodeCode Available	5
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision	Dec 14, 2022	Brain Tumor SegmentationDomain Adaptation	CodeCode Available	5
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation	May 11, 2023	image-classificationImage Classification	CodeCode Available	5
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation	Sep 18, 2021	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	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