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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 1301–1350 of 2089 papers

TitleStatusHype
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data—0
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation—0
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation—0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation—0
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention—0
Multi-Modal Evaluation Approach for Medical Image Segmentation—0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation—0
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation—0
Multi-rater Prompting for Ambiguous Medical Image Segmentation—0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Multiscale Progressive Text Prompt Network for Medical Image Segmentation—0
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation—0
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation—0
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation—0
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation—0
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation—0
Mutual Evidential Deep Learning for Medical Image Segmentation—0
Mutual information deep regularization for semi-supervised segmentation—0
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images—0
Navigating Uncertainty in Medical Image Segmentation—0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation—0
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection—0
Network-Agnostic Knowledge Transfer for Medical Image Segmentation—0
Network-Agnostic Knowledge Transfer from Latent Dataset for Medical Image Segmentation—0
nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources—0
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation—0
Noisy Image Segmentation With Soft-Dice—0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling—0
Non-pooling Network for medical image segmentation—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation—0
OASIS: One-pass aligned Atlas Set for Image Segmentation—0
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms—0
Offset Curves Loss for Imbalanced Problem in Medical Segmentation—0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
Online Reflective Learning for Robust Medical Image Segmentation—0
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation—0
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation—0
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking—0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations—0
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms—0
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation—0
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors—0
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All datasetsKvasir-SEGCVC-ClinicDBCVC-ColonDBETIS-LARIBPOLYPDBSynapse multi-organ CTAutomatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg2018 Data Science BowlGlaSBKAI-IGH NeoPolyp-SmallMICCAI 2015 Multi-Atlas Abdomen Labeling ChallengeACDC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95—Unverified
2EffiSegNet-B5mean Dice0.95—Unverified
3EffiSegNet-B4mean Dice0.95—Unverified
4SegMedmean Dice0.95—Unverified
5FCB Formermean Dice0.94—Unverified
6FCB-SwinV2 Transformermean Dice0.94—Unverified
7SEPmean Dice0.94—Unverified
8LM-Netmean Dice0.94—Unverified
9RAPUNetmean Dice0.94—Unverified
10FCBFormermean Dice0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97—Unverified
2RAPUNetmean Dice0.96—Unverified
3EMCADmean Dice0.95—Unverified
4Yolo-SAM 2mean Dice0.95—Unverified
5RaBiTmean Dice0.95—Unverified
6UGCANetmean Dice0.95—Unverified
7ESFPNet-Lmean Dice0.95—Unverified
8FCBFormermean Dice0.95—Unverified
9DuATmean Dice0.95—Unverified
10SegMedmean Dice0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95—Unverified
2DUCK-Netmean Dice0.94—Unverified
3EMCADmean Dice0.92—Unverified
4SegMedmean Dice0.92—Unverified
5UniNetmean Dice0.92—Unverified
6ProMISemean Dice0.87—Unverified
7Meta-Polypmean Dice0.87—Unverified
8ResUNet++ + TTAmean Dice0.85—Unverified
9PVT-GCASCADEmean Dice0.83—Unverified
10PVT-CASCADEmean Dice0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96—Unverified
2SegMedmean Dice0.94—Unverified
3DUCK-Netmean Dice0.94—Unverified
4EMCADmean Dice0.92—Unverified
5ProMISemean Dice0.84—Unverified
6RSAFormermean Dice0.84—Unverified
7ESFPNet-Lmean Dice0.82—Unverified
8DuATmean Dice0.82—Unverified
9PVT-CASCADEmean Dice0.8—Unverified
10SSFormer-Lmean Dice0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66—Unverified
2Medical SAM AdapterAvg DSC89.8—Unverified
3MedSegDiff-v2Avg DSC89.5—Unverified
4nnUNetAvg DSC88.8—Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76—Unverified
6MISTAvg DSC86.92—Unverified
7nnFormerAvg DSC86.57—Unverified
8AgileFormerAvg DSC86.11—Unverified
9MERITAvg DSC84.9—Unverified
10Automatic AI-SAMAvg DSC84.21—Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26—Unverified
2Interactive AI-SAM gt boxAvg DSC93.89—Unverified
3FCTAvg DSC93.02—Unverified
4LHU-NetAvg DSC92.65—Unverified
5MISTAvg DSC92.56—Unverified
6MERITAvg DSC92.32—Unverified
7MERIT-GCASCADEAvg DSC92.23—Unverified
8EMCADAvg DSC92.12—Unverified
9nnFormerAvg DSC92.06—Unverified
10Automatic AI-SAMAvg DSC92.06—Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6—Unverified