SOTAVerified

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

Showing 10011050 of 2089 papers

TitleStatusHype
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
Transformer-based Annotation Bias-aware Medical Image SegmentationCode0
Pre-Training Auto-Generated Volumetric Shapes for 3D Medical Image SegmentationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Robust T-Loss for Medical Image SegmentationCode1
S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp SegmentationCode1
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation ModelsCode0
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image SegmentationCode1
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationCode0
Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images0
Attention Mechanisms in Medical Image Segmentation: A Survey0
Trustworthy Deep Learning for Medical Image Segmentation0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation0
NexToU: Efficient Topology-Aware U-Net for Medical Image SegmentationCode1
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image SegmentationCode1
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation0
When SAM Meets Shadow DetectionCode1
An image segmentation algorithm based on multi-scale feature pyramid network0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation0
One-Prompt to Segment All Medical ImagesCode1
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion ModelCode1
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines0
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
Learning to Learn Unlearned Feature for Brain Tumor Segmentation0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation0
Meta-Polyp: a baseline for efficient Polyp segmentationCode1
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Mci-net: multi-scale context integrated network for liver ct image segmentationCode0
Rethinking Boundary Detection in Deep Learning Models for Medical Image SegmentationCode1
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode2
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques0
Polyp-SAM: Transfer SAM for Polyp SegmentationCode1
Segment Anything Model for Medical Images?Code1
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation0
GazeSAM: What You See is What You SegmentCode1
Customized Segment Anything Model for Medical Image SegmentationCode2
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation0
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
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Benchmark Results

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